#We are creating a mount while will allow us to access our dataset through our Amazon S3 account

import urllib
ACCESS_KEY = "******"
SECRET_KEY = "******"
ENCODED_SECRET_KEY = SECRET_KEY.replace("/", "%2F")    
AWS_BUCKET_NAME = "*****"
MOUNT_NAME = "******"

#Remove the below line's "#" if this is the first time running this Notebook, after that you will need to comment it out (Use a #), as there will already be a mount created
dbutils.fs.mount("s3a://%s:%s@%s" % (ACCESS_KEY, ENCODED_SECRET_KEY, AWS_BUCKET_NAME), "/mnt/%s" % MOUNT_NAME)

display(dbutils.fs.ls("/mnt/%s" % MOUNT_NAME))

Read the User dataset from JSON format and storing it as Pyspark dataframe¶

from pyspark.sql.types import StructType, StructField, IntegerType, StringType, BooleanType, FloatType, ArrayType, TimestampType

#Reading the Amazon S3 User dataset from JSON format and storing it as Pyspark dataframe
user_schema = StructType([StructField('average_stars', FloatType(), True),
                         StructField('compliment_cool', IntegerType(), True),
                         StructField('compliment_funny', IntegerType(), True),
                         StructField('compliment_hot', IntegerType(), True),
                         StructField('compliment_list', IntegerType(), True),
                         StructField('compliment_more', IntegerType(), True),
                         StructField('compliment_note', IntegerType(), True),
                         StructField('compliment_photos', IntegerType(), True),
                         StructField('compliment_plain', IntegerType(), True),
                         StructField('compliment_profile', IntegerType(), True),
                         StructField('compliment_writer', IntegerType(), True),
                         StructField('cool', IntegerType(), True),
                         StructField('elite', StringType(), True),
                         StructField('fans', IntegerType(), True),
                         StructField('friends', StringType(), True),
                         StructField('funny', IntegerType(), True),
                         StructField('name', StringType(), True),
                         StructField('review_count', IntegerType(), True),
                         StructField('useful', IntegerType(), True),
                         StructField('user_id', StringType(), True),
                         StructField('yelping_since', TimestampType(), True)])

Users_df = spark.read.json("dbfs:/mnt/inst767-mount/user.json", schema = user_schema)

Users_df = Users_df.withColumnRenamed('review_count', 'user_review_count')

#Double check the schema of the dataframe represnting the Users dataset
Users_df.printSchema()

#Keeping only the columns that we want to use for our analysis
Users_refined_df = Users_df.select([c for c in Users_df.columns if c in ['user_id', 'average_stars', 'fans', 'user_review_count']])

display(Users_refined_df)

Reading the Amazon S3 Checkins dataset from JSON format and storing it as Pyspark dataframe¶

#Reading the Amazon S3 Checkins dataset from JSON format and storing it as Pyspark dataframe

Checkin_df = spark.read.json("dbfs:/mnt/inst767-mount/checkin.json")

display(Checkin_df)

Reading the Amazon S3 Reviews dataset from JSON format and storing it as Pyspark dataframe¶

# #Reading the Amazon S3 Reviews dataset from JSON format and storing it as Pyspark dataframe

# reviews_schema = StructType([StructField('business_id', StringType(), True),
#                             StructField('cool', IntegerType(), True),
#                             StructField('date', TimestampType(), True),
#                             StructField('funny', IntegerType(), True),
#                             StructField('review_id', StringType(), True),
#                             StructField('stars', IntegerType(), True),
#                             StructField('text', StringType(), True),
#                             StructField('useful', IntegerType(), True),
#                             StructField('user_id', StringType(), True)])

reviews_df = spark.read.json("dbfs:/mnt/inst767-mount/review.json")

reviews_df = reviews_df.withColumn('cool_integer', reviews_df['cool'].cast(IntegerType())).drop('cool')
reviews_df = reviews_df.withColumn('funny_integer', reviews_df['funny'].cast(IntegerType())).drop('funny')
reviews_df = reviews_df.withColumn('stars_integer', reviews_df['stars'].cast(IntegerType())).drop('stars')
reviews_df = reviews_df.withColumn('useful_integer', reviews_df['useful'].cast(IntegerType())).drop('useful')

reviews_df = reviews_df.withColumnRenamed('cool_integer', 'cool')
reviews_df = reviews_df.withColumnRenamed('funny_integer', 'funny')
reviews_df = reviews_df.withColumnRenamed('stars_integer', 'stars')
reviews_df = reviews_df.withColumnRenamed('useful_integer', 'useful')

display(reviews_df)

@udf(returnType=IntegerType())
def word_count(col):
  return len(col)

reviews_df = reviews_df.withColumn('review_len', word_count('text'))

reviews_df.count()

Reading the Amazon S3 Tips dataset from JSON format and storing it as Pyspark dataframe¶

#Reading the Amazon S3 Tips dataset from JSON format and storing it as Pyspark dataframe

tips_schema = StructType([StructField('business_id', StringType(), True),
                         StructField('compliment_count', IntegerType(), True),
                         StructField('date', TimestampType(), True),
                         StructField('text', StringType(), True),
                         StructField('user_id', StringType(), True)])

tips_df = spark.read.json("dbfs:/mnt/inst767-mount/tip.json")

display(tips_df)

Reading the Amazon S3 Business dataset from JSON format and storing it as Pyspark dataframe¶

#Reading the Amazon S3 Business dataset from JSON format and storing it as Pyspark dataframe

business_schema = StructType([StructField('address', StringType(), True),
                             StructField('attributes', StructType(), True),
                             StructField('business_id', StringType(), True),
                             StructField('categories', StringType(), True),
                             StructField('city', StringType(), True),
                             StructField('hours', StructType(), True),
                             StructField('is_open', IntegerType(), True),
                             StructField('latitude', FloatType(), True),
                             StructField('longitude', FloatType(), True),
                             StructField('name', StringType(), True),
                             StructField('postal_code', StringType(), True),
                             StructField('review_count', IntegerType(), True),
                             StructField('stars', FloatType(), True),
                             StructField('state', StringType(), True)])

business_df = spark.read.json("dbfs:/mnt/inst767-mount/business.json", schema = business_schema)

business_df = business_df.withColumnRenamed('review_count', 'business_review_count')

display(business_df)

Preprocessing the business dataframe¶

#UDF that counts # of rows and # of columns
def shape(df):
  return [df.count(), len(df.columns)]

#Drop the attributes and hours columns, then check new schema
business_df = business_df.drop('attributes')
business_df = business_df.drop('hours')

#Checking the # of null/missing values in the Business dataset
from pyspark.sql.functions import isnan, when, count, col
business_df.select([count(when(isnan(c) | col(c).isNull(), c)).alias(c) for c in business_df.columns]).show()

# Drop rows with null values in categories column
business_df = business_df.dropna(subset = 'categories')
# business_df.show(5)

#Only keeping the businesses that are restaurants or are food related
from pyspark.sql.functions import udf
from pyspark.sql.types import BooleanType

@udf(returnType=BooleanType())
def filter_restaurants(col):
  for category in col.split(','):
    if 'restaurant' in category.lower() or 'food' in category.lower():
      return True
  return False

@udf(returnType=BooleanType())
def filter_non_restaurants(col):
  category = ' '.join(col.split(','))
  if 'restaurant' not in category.lower() and 'food' not in category.lower():
    return True
  return False

#Reviewing businesses that are restaurants and are food related
business_df_restaurants = business_df.filter(filter_restaurants('categories'))

#Reviewing businesses that are not restaurants and are not food related
business_df_nonRestaurants = business_df.filter(filter_non_restaurants('categories'))

#Determining the # of unique categories from our restaurants dataframe as well as our non-restaurants non-restaurants dataframe, in case we find other keywords that should be used
def get_unique(df):
  """
  Returns a list of unique categories from the df
  """
  unique_categories = {}
  
  for row in df.select('categories').rdd.collect():
    categories = row.asDict()['categories']
    for category in categories.split(','):
      try:
        unique_categories[category.lower().strip()] += 1
      except:
        unique_categories[category.lower().strip()] = 0
        
  return unique_categories
    
unique_category_nonRestaurants = get_unique(business_df_nonRestaurants)
unique_category_restaurants = get_unique(business_df_restaurants)

print('Number of unique categories in restaurants df are {}'.format(len(unique_category_restaurants)))  
print('Number of unique categories in non restaurants df are {}'.format(len(unique_category_nonRestaurants)))

display(business_df_restaurants.select('state').distinct())

business_df_restaurants.createOrReplaceTempView('business_restaurants_VIEW')

%sql select state, count(business_id) from business_restaurants_VIEW group by state order by count(business_id) desc

We choose a subset of the data. Select the following states: AZ, OH¶

filtered_business_df = business_df_restaurants.filter((business_df_restaurants.state == 'AZ') | (business_df_restaurants.state == 'OH'))

display(filtered_business_df)

shape(filtered_business_df)

Join the Review, Business and Users dataframes¶

#Checking unique user_id count, making sure there are no duplicate records. They are they same, but the code is commented out so the cell runs faster
#Users_refined_df.select("user_id").distinct().count()
#Users_refined_df.select("user_id").count()

#Rename the stars column in both the review and business dataframes, so that there is no confusion when joining
reviews_df2 = reviews_df
reviews_df2 = reviews_df2.withColumnRenamed('stars', 'review_stars')
business_df_restaurants2 = filtered_business_df
business_df_restaurants2 = business_df_restaurants2.withColumnRenamed('stars', 'business_stars')

#Making a copy of the Users dataframe
#Users_refined_df2 = Users_refined_df

#Join the Review dataframe with the Business dataframe
#review_analysis_df = reviews_df2
review_analysis_df = reviews_df2.join(business_df_restaurants2, 'business_id', 'inner')

#Join the above review_analysis_df dataframe with the Users dataframe, so that we have one combined data frame that is per review
review_analysis_df = review_analysis_df.join(Users_refined_df, 'user_id', 'inner')

display(review_analysis_df)

shape(review_analysis_df)

Vader Sentiment¶

from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer

analyser = SentimentIntensityAnalyzer()

# positive sentiment - compound score >= 0.05
# neutral sentiment - compound score (-0.05, +0.05)
# negative sentiment - compund score <= -0.05

User defined function to calculate sentiment score for each review

from pyspark.sql.types import FloatType

@udf(returnType = FloatType())
def sentiment_score(col):
  scores = analyser.polarity_scores(col)
  return scores['compound']


review_analysis_df = review_analysis_df.withColumn('sentiment_score', sentiment_score('text'))


#review_analysis_df.select('text', sentiment_score('text').alias('sentiment_score'))['sentiment_score']

display(review_analysis_df)

Create an accuracy column¶

review_stars :
1,2 - Negative
3 - Neutral
4,5 - positive

positive sentiment - compound score >= 0.05
neutral sentiment - compound score (-0.05, +0.05)
negative sentiment - compund score <= -0.05

@udf(returnType = IntegerType())
def accuracy(reviewStars, sentimentScore):
  if (reviewStars < 3 and sentimentScore <= -0.05) or (reviewStars == 3 and sentimentScore > -0.05 and sentimentScore < 0.05) or (reviewStars > 3 and sentimentScore >= 0.05):
    return 1
  else:
    return 0
  
review_analysis_df = review_analysis_df.withColumn('accurate', accuracy('review_stars', 'sentiment_score'))

display(review_analysis_df)

review_analysis_df.rdd.getNumPartitions()

review_analysis_df.repartition(30).createOrReplaceTempView('reviewAnalysisVIEW')

spark.catalog.cacheTable('reviewAnalysisVIEW')

# Call .count() to materialize the cache
spark.table("reviewAnalysisVIEW").count()

reviewAnalysisDF = spark.table("reviewAnalysisVIEW")

# Note that the full scan + count in memory takes < 1 second!

reviewAnalysisDF.count()

spark.catalog.isCached("reviewAnalysisVIEW")

display(reviewAnalysisDF.groupby('accurate').count())

reviewAnalysisDF.write.parquet('/tmp/reviewAnalysisDf')

display(reviewAnalysisDF)

display(reviewAnalysisDF.select('review_stars').distinct())

%fs ls tmp/reviewAnalysisDf

3: Vector Assembly¶

Once we are through with the encoder creation step, it is time to essemble the encoders and all the input and output columns to form a final vector_generator that will be passed as input to the machine learning pipeline.

import pyspark.ml.feature as ft

featuresCreator = ft.VectorAssembler(inputCols=['cool', 'funny', 'useful', 'is_open', 'business_review_count', 'business_stars', 'average_stars', 'fans', 'user_review_count', 'sentiment_score'],outputCol='features')

4: Estimator Creation¶

This is the step where we select the machine learning model that we wish to utilize. Here, we create an Estimator object that contains the machine learning model along with all the hyper optimization parameters that need to be passed to it. Here, we are using LogisticRegression.

import pyspark.ml.classification as cl


logistic_regression_model = cl.LogisticRegression(maxIter=10,regParam=0.01,labelCol='review_stars', family = 'multinomial')
print(type(logistic_regression_model))

5: Pipeline Creation¶

from pyspark.ml import Pipeline


pipeline = Pipeline(stages=[featuresCreator,logistic_regression_model])
print(type(pipeline))

6: Dataset Splitting¶

train, test = reviewAnalysisDF.randomSplit([0.7, 0.3], seed=666)

7: Model Fitting¶

# This creates a model by training on the births_train dataset using the Pipeline we created
model = pipeline.fit(train)
print(type(model))

# This step uses the model that we created in the previous step to generate the output column for births_test dataset
test_model = model.transform(test)
print(type(test_model))

display(test_model.select('prediction').distinct())

We observe that our model does not give any 2 star ratings. Let's check how accurate it is.

8: Performance Evaluation¶

import pyspark.ml.evaluation as ev


# Create an object of the Evaluator class that evaluates our model based on the rawPredictionCol and the label that we need to predict
evaluator = ev.MulticlassClassificationEvaluator(predictionCol='prediction',labelCol='review_stars')

# Extract the needed evaluation criteria from the object
print(evaluator.evaluate(test_model,{evaluator.metricName: 'accuracy'}))
# print(evaluator.evaluate(test_model,{evaluator.metricName: 'areaUnderPR'}))

We observe an accuracy of 51 percent on this baseline model

%fs ls reviewAnalysisDf.tsv

state	count(business_id)
ON	18387
AZ	14792
NV	10065
OH	6777
QC	6651
NC	5550
PA	5061
AB	3845
WI	2133
IL	813
SC	493
NY	13
AL	2
XGM	2
XWY	2
BAS	1
VA	1
BC	1
VT	1
CA	1
NE	1
WA	1
NM	1
CON	1
TX	1
AR	1
XGL	1
FL	1

path	name	size
dbfs:/reviewAnalysisDf.tsv/_SUCCESS	_SUCCESS	0
dbfs:/reviewAnalysisDf.tsv/_committed_1137497451089006343	_committed_1137497451089006343	114
dbfs:/reviewAnalysisDf.tsv/_started_1137497451089006343	_started_1137497451089006343	0
dbfs:/reviewAnalysisDf.tsv/part-00000-tid-1137497451089006343-6e19e93f-ef33-4939-a015-adc23d0f3dcf-4098-1-c000.csv	part-00000-tid-1137497451089006343-6e19e93f-ef33-4939-a015-adc23d0f3dcf-4098-1-c000.csv	1248225473

path	name	size
dbfs:/mnt/inst767-mount/business.json	business.json	138279749
dbfs:/mnt/inst767-mount/checkin.json	checkin.json	408807658
dbfs:/mnt/inst767-mount/review.json	review.json	5347475638
dbfs:/mnt/inst767-mount/tip.json	tip.json	244535478
dbfs:/mnt/inst767-mount/user.json	user.json	2485747393

path	name	size
dbfs:/tmp/reviewAnalysisDf/_SUCCESS	_SUCCESS	0
dbfs:/tmp/reviewAnalysisDf/_committed_4055190317912707360	_committed_4055190317912707360	3054
dbfs:/tmp/reviewAnalysisDf/_started_4055190317912707360	_started_4055190317912707360	0
dbfs:/tmp/reviewAnalysisDf/part-00000-tid-4055190317912707360-9c30935f-421c-4172-9507-d8282ffc1d44-2620-1-c000.snappy.parquet	part-00000-tid-4055190317912707360-9c30935f-421c-4172-9507-d8282ffc1d44-2620-1-c000.snappy.parquet	22496983
dbfs:/tmp/reviewAnalysisDf/part-00001-tid-4055190317912707360-9c30935f-421c-4172-9507-d8282ffc1d44-2621-1-c000.snappy.parquet	part-00001-tid-4055190317912707360-9c30935f-421c-4172-9507-d8282ffc1d44-2621-1-c000.snappy.parquet	22437324
dbfs:/tmp/reviewAnalysisDf/part-00002-tid-4055190317912707360-9c30935f-421c-4172-9507-d8282ffc1d44-2622-1-c000.snappy.parquet	part-00002-tid-4055190317912707360-9c30935f-421c-4172-9507-d8282ffc1d44-2622-1-c000.snappy.parquet	22445475
dbfs:/tmp/reviewAnalysisDf/part-00003-tid-4055190317912707360-9c30935f-421c-4172-9507-d8282ffc1d44-2623-1-c000.snappy.parquet	part-00003-tid-4055190317912707360-9c30935f-421c-4172-9507-d8282ffc1d44-2623-1-c000.snappy.parquet	22476154
dbfs:/tmp/reviewAnalysisDf/part-00004-tid-4055190317912707360-9c30935f-421c-4172-9507-d8282ffc1d44-2624-1-c000.snappy.parquet	part-00004-tid-4055190317912707360-9c30935f-421c-4172-9507-d8282ffc1d44-2624-1-c000.snappy.parquet	22434041
dbfs:/tmp/reviewAnalysisDf/part-00005-tid-4055190317912707360-9c30935f-421c-4172-9507-d8282ffc1d44-2625-1-c000.snappy.parquet	part-00005-tid-4055190317912707360-9c30935f-421c-4172-9507-d8282ffc1d44-2625-1-c000.snappy.parquet	22425221
dbfs:/tmp/reviewAnalysisDf/part-00006-tid-4055190317912707360-9c30935f-421c-4172-9507-d8282ffc1d44-2626-1-c000.snappy.parquet	part-00006-tid-4055190317912707360-9c30935f-421c-4172-9507-d8282ffc1d44-2626-1-c000.snappy.parquet	22389287
dbfs:/tmp/reviewAnalysisDf/part-00007-tid-4055190317912707360-9c30935f-421c-4172-9507-d8282ffc1d44-2627-1-c000.snappy.parquet	part-00007-tid-4055190317912707360-9c30935f-421c-4172-9507-d8282ffc1d44-2627-1-c000.snappy.parquet	22442085
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dbfs:/tmp/reviewAnalysisDf/part-00009-tid-4055190317912707360-9c30935f-421c-4172-9507-d8282ffc1d44-2629-1-c000.snappy.parquet	part-00009-tid-4055190317912707360-9c30935f-421c-4172-9507-d8282ffc1d44-2629-1-c000.snappy.parquet	22551580
dbfs:/tmp/reviewAnalysisDf/part-00010-tid-4055190317912707360-9c30935f-421c-4172-9507-d8282ffc1d44-2630-1-c000.snappy.parquet	part-00010-tid-4055190317912707360-9c30935f-421c-4172-9507-d8282ffc1d44-2630-1-c000.snappy.parquet	22436227
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average_stars	fans	user_review_count	user_id
4.03	5	95	l6BmjZMeQD3rDxWUbiAiow
3.63	4	33	4XChL029mKr5hydo79Ljxg
3.71	0	16	bc8C_eETBWL0olvFSJJd0w
4.85	5	17	dD0gZpBctWGdWo9WlGuhlA
4.08	39	361	MM4RJAeH6yuaN8oZDSt0RA
4.2	186	214	0rK89TS8xqy1wI4nYI1wfw
4.39	696	1122	TEtzbpgA2BFBrC0y0sCbfw
4.33	0	6	KGuqerdeNhxzXZEyBaqqSw
4.21	57	859	T0gWkTHWRChVUe_Dn1F8nw
4.53	15	124	NQffx45eJaeqhFcMadKUQA
3.6	9	47	gvXtMj3XuPr0xHjgmlmtng
3.48	3	77	_DaFdmq0gtXf1spn1qC_1Q
3.5	2	11	FTWKZZeLb_0ZJRXQg8WADw
3.95	0	22	US0VOSMFs9U0Nkl5Vx1EzA
3.9	42	143	fktnDzpjYBUG5a-w_xq01A
4.5	1	9	iPJAN6rJHv92WE2h9b3lAA
3.79	71	732	AWCY8laHjH0-3HMT0LGpUA
4.1	4	57	CXi7I5J-ItLGJNyKPkI5gA
3.58	124	453	3TJcP0stfxjWGsLuGQgQdg
3.1	0	44	hQ98T_hy1CoSWw55zA49VQ
3.89	99	1563	zzpgpo54-_P-4rzzBtOuLQ
3.45	71	470	pU6GoRTcl1rIOi6zMynjog
4.05	5	127	Ps_zkoSnuv2Gy-QIt0jEJg
4.31	13	391	_ICqwy7SW8J6OJBab1HkwA
3.81	19	336	J9HamWsxKorlPGUAXy-M9Q
3.57	7	48	t8Whyn2ZWS34TxHsr2mpbg
4.44	0	9	nRagjGVuSALgQ4KfGLn8Ig
4.16	9	167	djQLJTLA4Tx7TpzYCKIqJQ
3.59	13	443	xxhjX14h8cQyKSuTQFy1Lg
2.0	1	4	a643pisN3QSjofk1Jmlo_Q
2.64	1	19	z5y4ejvC8uaUg5fGEJHbRA
4.25	2	108	DvIlmSleoauEoR3fY0Kf5w
4.02	77	412	t-nB38eHbeFuabXBdJMwvg
4.2	0	4	3gniF5P3L_WcoR8zx7wXxA
4.06	407	914	ICwMfseYkrB0ZEK8tDUOHw
3.61	251	2518	eSlOI3GhroEtcbaD_nFXJQ
3.82	33	207	27wlLX7e52vVEvNA4Ksccw
4.39	21	100	QiDtS54JwTGeH81c-a84WQ
3.95	58	431	rnU1EFMSnVJGrQxrnjaODg
3.64	24	318	AsYMm_O4H-mwmWbmeACDHw

business_id	date
--1UhMGODdWsrMastO9DZw	2016-04-26 19:49:16, 2016-08-30 18:36:57, 2016-10-15 02:45:18, 2016-11-18 01:54:50, 2017-04-20 18:39:06, 2017-05-03 17:58:02
--6MefnULPED_I942VcFNA	2011-06-04 18:22:23, 2011-07-23 23:51:33, 2012-04-15 01:07:50, 2012-05-06 23:08:42, 2012-06-08 22:43:12, 2012-08-06 23:20:52, 2012-08-19 18:30:44, 2013-01-27 23:49:51, 2013-03-01 01:22:29, 2013-03-23 21:53:47, 2013-03-24 01:11:51, 2013-05-20 00:12:25, 2013-06-29 22:50:57, 2013-07-01 15:58:04, 2013-07-01 22:35:42, 2013-07-28 21:46:49, 2013-08-02 22:06:03, 2013-08-11 18:42:03, 2013-08-23 01:29:56, 2013-09-17 17:40:36, 2013-09-20 23:36:30, 2013-09-24 23:50:18, 2013-10-12 23:11:13, 2013-11-24 18:40:15, 2013-12-12 02:52:54, 2013-12-26 17:33:17, 2013-12-30 00:27:37, 2014-03-28 23:38:23, 2014-04-25 22:48:11, 2014-04-28 22:56:07, 2014-05-03 01:02:47, 2014-05-19 17:08:37, 2014-06-16 00:04:51, 2014-06-22 17:21:27, 2014-07-04 19:13:34, 2014-07-11 15:46:29, 2014-07-25 20:55:48, 2014-08-23 22:27:42, 2014-08-31 01:43:10, 2014-09-06 16:29:55, 2014-09-13 23:34:42, 2014-10-11 23:20:09, 2014-11-19 19:05:56, 2014-11-30 23:27:15, 2015-01-04 01:06:47, 2015-01-04 01:08:08, 2015-01-11 00:16:13, 2015-01-17 23:42:09, 2015-01-17 23:46:42, 2015-01-26 00:05:15, 2015-02-18 17:21:01, 2015-03-22 22:26:09, 2015-03-28 22:47:50, 2015-04-03 21:49:35, 2015-04-05 18:52:21, 2015-04-11 22:59:11, 2015-04-12 22:52:29, 2015-04-24 00:02:22, 2015-05-09 21:45:34, 2015-05-16 22:53:44, 2015-06-07 17:54:51, 2015-07-01 16:24:54, 2015-07-10 22:13:09, 2015-07-11 22:16:37, 2015-07-18 00:27:00, 2015-08-29 23:51:50, 2015-09-07 22:57:51, 2015-09-27 23:54:33, 2015-10-11 22:03:40, 2015-10-12 15:08:23, 2015-10-23 01:34:21, 2015-10-25 00:36:12, 2015-11-09 18:55:17, 2015-11-15 00:01:47, 2015-12-16 19:59:00, 2015-12-27 01:00:59, 2016-01-23 19:05:37, 2016-01-30 23:54:10, 2016-02-07 03:19:01, 2016-02-13 17:49:41, 2016-02-16 00:16:10, 2016-03-27 21:14:50, 2016-04-02 16:29:16, 2016-04-02 17:17:50, 2016-04-16 22:27:48, 2016-04-27 23:54:21, 2016-05-07 21:52:13, 2016-05-21 22:14:00, 2016-06-04 23:06:32, 2016-06-11 22:23:48, 2016-07-01 02:59:31, 2016-07-02 23:01:47, 2016-07-06 22:27:12, 2016-07-08 00:49:30, 2016-07-16 23:53:17, 2016-07-26 17:15:19, 2016-08-01 22:46:32, 2016-08-02 00:14:10, 2016-08-18 03:19:16, 2016-08-20 12:47:15, 2016-08-21 12:24:31, 2016-09-15 20:31:53, 2016-10-03 01:04:15, 2016-10-03 01:04:25, 2016-11-26 00:48:51, 2016-12-24 17:56:29, 2016-12-31 18:29:26, 2017-01-09 01:07:12, 2017-01-15 03:53:00, 2017-01-15 17:30:16, 2017-01-28 00:44:48, 2017-02-10 20:18:01, 2017-02-18 23:13:18, 2017-02-19 00:30:24, 2017-02-20 02:04:48, 2017-04-16 22:46:55, 2017-04-27 04:38:34, 2017-05-13 22:51:49, 2017-05-19 23:03:19, 2017-05-31 22:46:11, 2017-05-31 22:46:33, 2017-07-28 23:38:19, 2017-08-13 23:42:59, 2017-08-17 23:27:33, 2017-09-03 17:30:25, 2017-09-03 22:59:25, 2017-09-16 21:12:41, 2017-09-18 00:36:34, 2017-09-28 23:28:02, 2017-10-01 13:02:01, 2017-10-08 00:00:05, 2017-10-08 15:07:36, 2017-10-09 00:44:22, 2017-10-15 22:31:47, 2017-10-17 23:31:26, 2017-10-17 23:32:10, 2017-11-04 22:48:12, 2017-11-10 20:50:25, 2017-12-17 23:02:32, 2017-12-21 00:55:13, 2017-12-29 01:53:12, 2017-12-29 01:53:52, 2018-01-26 00:47:30, 2018-03-30 16:49:10, 2018-04-07 16:27:21, 2018-04-24 23:45:19, 2018-05-05 18:27:12, 2018-05-05 22:27:18, 2018-05-14 23:47:27, 2018-05-20 23:49:45, 2018-05-25 16:39:21, 2018-06-04 21:40:47, 2018-06-04 21:40:58, 2018-06-12 22:27:30, 2018-06-20 22:53:27, 2018-07-05 16:15:18, 2018-07-08 18:40:13, 2018-07-08 20:41:46, 2018-07-18 20:58:49, 2018-07-24 23:35:44, 2018-08-09 00:08:56, 2018-08-20 22:29:00, 2018-08-31 17:47:54, 2018-09-13 23:08:09, 2018-09-15 22:16:51, 2018-10-21 18:09:02, 2018-10-21 22:58:14
--7zmmkVg-IMGaXbuVd0SQ	2014-12-29 19:25:50, 2015-01-17 01:49:14, 2015-01-24 20:31:57, 2015-02-07 22:38:13, 2015-02-15 00:02:28, 2015-02-21 20:23:14, 2015-02-27 23:09:22, 2015-02-27 23:09:25, 2015-04-19 00:54:07, 2015-05-01 21:54:22, 2015-05-09 00:08:34, 2015-05-30 22:27:49, 2015-06-05 23:10:19, 2015-06-06 18:53:29, 2015-06-06 18:59:00, 2015-06-13 22:17:12, 2015-07-06 23:04:30, 2015-07-12 19:24:45, 2015-07-18 21:58:24, 2015-07-18 23:28:49, 2015-07-18 23:30:38, 2015-07-26 18:25:02, 2015-07-26 18:30:18, 2015-08-09 21:18:56, 2015-08-12 23:51:39, 2015-08-15 21:06:16, 2015-08-15 22:23:23, 2015-08-22 19:50:39, 2015-08-22 19:51:57, 2015-08-28 18:53:15, 2015-08-29 19:48:28, 2015-08-29 19:48:54, 2015-08-30 21:03:28, 2015-08-30 21:11:46, 2015-10-04 17:59:23, 2015-10-04 18:03:41, 2015-10-04 20:07:10, 2015-10-11 21:58:30, 2015-10-17 22:26:44, 2015-10-18 19:47:06, 2015-10-24 17:59:00, 2015-10-24 18:03:27, 2015-10-29 22:18:38, 2015-11-15 00:41:29, 2015-11-21 19:17:54, 2015-12-06 01:31:50, 2015-12-06 01:57:39, 2016-01-02 18:56:43, 2016-01-09 23:27:01, 2016-01-09 23:28:03, 2016-01-29 22:08:50, 2016-02-23 22:32:33, 2016-02-24 00:10:41, 2016-03-10 21:43:42, 2016-04-08 01:02:22, 2016-04-14 01:33:48, 2016-04-14 23:31:17, 2016-04-16 01:03:36, 2016-04-17 18:35:58, 2016-05-07 00:25:54, 2016-05-28 23:09:34, 2016-05-29 22:03:50, 2016-06-04 18:05:40, 2016-06-05 19:30:26, 2016-06-19 00:35:21, 2016-06-23 23:23:14, 2016-07-12 22:32:43, 2016-07-12 22:33:00, 2016-07-16 22:43:43, 2016-07-16 22:56:05, 2016-07-16 23:02:34, 2016-07-16 23:25:40, 2016-07-30 17:48:57, 2016-08-05 20:17:59, 2016-08-13 18:15:05, 2016-08-27 20:17:02, 2016-08-27 21:48:17, 2016-09-01 21:03:32, 2016-09-03 18:52:21, 2016-09-03 20:06:52, 2016-09-16 22:02:50, 2016-09-16 22:03:15, 2016-09-16 23:37:34, 2016-09-22 23:46:02, 2016-09-24 02:47:19, 2016-10-21 21:18:32, 2016-10-22 19:58:49, 2016-10-23 20:49:14, 2016-10-30 17:06:49, 2016-10-30 17:07:35, 2016-11-19 04:32:50, 2016-12-11 00:03:15, 2016-12-12 00:09:12, 2016-12-18 00:11:25, 2016-12-27 22:25:09, 2016-12-27 22:25:23, 2016-12-27 22:50:45, 2016-12-28 01:53:49, 2016-12-31 20:02:48, 2017-01-20 22:24:47, 2017-02-10 22:00:27, 2017-02-19 22:49:43, 2017-02-20 21:09:54, 2017-02-23 23:46:10, 2017-02-24 00:00:06, 2017-02-24 22:44:44, 2017-03-04 19:42:27, 2017-03-18 01:04:53, 2017-03-18 01:33:00, 2017-04-05 20:40:00, 2017-04-14 17:13:21, 2017-04-15 21:55:34, 2017-04-15 22:31:23, 2017-04-27 20:15:13, 2017-04-28 22:37:22, 2017-04-30 17:46:40, 2017-05-04 20:46:30, 2017-05-05 23:30:12, 2017-05-07 18:28:43, 2017-05-12 19:07:25, 2017-05-14 02:06:56, 2017-05-14 17:18:44, 2017-05-18 20:34:19, 2017-05-18 23:06:31, 2017-06-06 20:15:51, 2017-06-08 20:33:42, 2017-06-10 01:10:36, 2017-06-14 20:34:37, 2017-06-29 20:38:24, 2017-07-05 23:01:48, 2017-07-17 21:37:12, 2017-07-22 19:20:54, 2017-07-24 22:17:35, 2017-07-27 20:34:14, 2017-08-05 17:43:23, 2017-08-05 17:48:23, 2017-08-12 20:02:10, 2017-08-12 23:51:17, 2017-08-17 20:34:39, 2017-08-26 00:17:00, 2017-08-26 20:38:38, 2017-09-03 19:41:38, 2017-09-07 20:24:19, 2017-09-10 00:08:57, 2017-09-15 01:35:23, 2017-10-06 20:40:47, 2017-10-14 18:59:01, 2017-10-14 21:26:57, 2017-10-28 00:28:59, 2017-10-28 00:57:27, 2017-11-04 19:31:13, 2017-11-04 22:12:06, 2017-11-19 21:19:30, 2017-11-19 21:28:47, 2017-11-25 01:34:54, 2017-12-22 20:26:31, 2018-02-16 19:31:04, 2018-03-02 22:06:35, 2018-03-10 22:28:17, 2018-03-30 02:19:33, 2018-05-04 23:45:22, 2018-05-05 22:10:02, 2018-05-06 01:11:42, 2018-05-25 22:59:13, 2018-06-02 16:26:56, 2018-07-06 22:47:20, 2018-07-07 22:37:17, 2018-07-08 00:22:57, 2018-07-08 00:32:35, 2018-07-14 21:09:31, 2018-07-28 01:55:03, 2018-08-17 23:08:57, 2018-09-02 16:29:01, 2018-09-29 23:16:43, 2018-10-05 19:58:22, 2018-10-27 23:03:59, 2018-10-28 02:00:38, 2018-10-28 02:01:13, 2018-11-03 17:22:03, 2018-11-11 21:58:04
--8LPVSo5i0Oo61X01sV9A	2016-07-08 16:43:30
--9QQLMTbFzLJ_oT-ON3Xw	2010-06-26 17:39:07, 2010-08-01 20:06:21, 2010-12-09 21:21:24, 2011-08-12 00:42:57, 2011-09-21 20:21:41, 2011-10-08 08:07:20, 2012-05-11 01:45:52, 2012-10-16 23:32:00, 2013-04-20 02:16:06, 2013-05-29 03:01:35, 2013-08-10 02:55:45, 2013-09-07 20:55:24, 2013-09-17 18:57:00, 2013-10-30 19:05:26, 2013-11-30 20:39:53, 2013-12-30 22:01:57, 2014-02-01 04:06:00, 2014-05-09 03:35:20, 2014-06-14 19:29:45, 2014-10-24 02:02:06, 2014-11-30 00:04:25, 2014-12-02 01:36:24, 2014-12-23 23:00:26, 2014-12-28 20:48:03, 2015-01-09 19:50:14, 2015-03-25 02:00:31, 2015-07-19 19:55:49, 2015-08-01 02:31:56, 2016-07-02 22:01:47, 2017-03-03 21:34:28, 2017-08-15 02:03:03, 2017-08-20 18:18:34, 2017-08-24 22:27:40, 2017-10-29 17:40:25, 2018-06-13 02:27:35, 2018-06-16 18:44:45, 2018-06-17 19:22:39
--9e1ONYQuAa-CB_Rrw7Tw	2010-02-08 05:56:47, 2010-02-15 04:47:42, 2010-02-22 03:20:16, 2010-03-12 05:18:41, 2010-03-19 03:42:08, 2010-04-09 01:55:53, 2010-04-24 20:16:35, 2010-05-08 05:17:27, 2010-05-19 03:11:51, 2010-06-03 02:32:28, 2010-06-24 09:58:07, 2010-07-05 04:11:30, 2010-07-17 02:49:40, 2010-07-17 09:05:32, 2010-07-18 02:21:34, 2010-07-18 02:56:08, 2010-07-18 05:16:04, 2010-07-21 02:27:10, 2010-07-25 01:28:01, 2010-07-26 03:16:41, 2010-07-30 03:50:24, 2010-07-31 02:34:39, 2010-08-02 02:38:34, 2010-08-07 01:28:18, 2010-08-07 01:43:14, 2010-08-07 01:48:20, 2010-08-07 02:52:29, 2010-08-08 00:42:26, 2010-08-08 02:30:45, 2010-08-08 20:27:39, 2010-08-08 21:18:06, 2010-08-11 02:55:32, 2010-08-14 21:04:06, 2010-08-17 03:03:10, 2010-08-24 15:27:32, 2010-08-25 08:45:51, 2010-08-25 17:56:36, 2010-08-28 05:13:05, 2010-08-29 01:12:46, 2010-08-29 01:43:13, 2010-09-03 02:15:09, 2010-09-06 04:00:21, 2010-09-12 04:07:39, 2010-09-14 23:01:59, 2010-09-15 00:43:59, 2010-09-19 03:55:49, 2010-09-27 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--DaPTJW3-tB1vP-PfdTEg	2012-06-03 17:46:09, 2012-08-04 16:19:52, 2012-08-04 16:26:17, 2012-08-06 20:14:27, 2012-08-09 22:17:11, 2012-08-12 15:50:35, 2012-08-12 16:01:46, 2013-05-05 14:52:02, 2013-06-20 00:34:54, 2013-07-04 15:01:25, 2013-08-09 13:38:32, 2013-08-21 13:02:12, 2013-08-31 19:12:47, 2013-09-14 13:25:42, 2013-11-13 01:42:52, 2013-12-23 02:31:55, 2014-01-14 15:22:38, 2014-03-01 17:53:21, 2014-04-14 15:44:00, 2014-04-20 16:02:22, 2014-05-24 14:17:30, 2014-07-27 15:05:02, 2014-08-04 15:47:19, 2014-11-01 14:08:01, 2014-11-22 14:49:08, 2014-12-06 17:23:11, 2014-12-20 17:33:52, 2015-01-03 17:30:53, 2015-02-02 16:33:53, 2015-02-27 17:39:43, 2015-03-01 17:12:11, 2015-03-22 14:50:56, 2015-05-03 12:02:04, 2015-05-20 12:34:59, 2015-05-23 12:38:32, 2015-06-27 14:55:00, 2015-07-05 16:03:59, 2015-07-24 14:24:10, 2015-08-01 12:43:51, 2015-08-11 15:14:07, 2015-08-29 12:39:05, 2015-09-08 13:04:51, 2015-09-12 16:56:03, 2015-09-18 13:14:26, 2015-09-25 11:42:32, 2015-09-26 15:40:23, 2015-09-27 12:18:38, 2015-10-09 11:25:06, 2015-10-16 11:39:42, 2015-10-30 13:16:55, 2015-11-01 18:51:28, 2015-11-06 12:12:24, 2015-11-27 12:24:34, 2015-11-27 15:13:09, 2015-11-27 15:14:02, 2015-12-04 12:35:16, 2015-12-21 13:01:07, 2015-12-30 13:01:57, 2016-01-08 12:19:56, 2016-01-15 12:55:01, 2016-01-17 13:06:15, 2016-01-22 12:37:33, 2016-01-24 13:23:56, 2016-01-29 12:41:29, 2016-02-05 12:27:59, 2016-02-12 12:26:05, 2016-02-26 12:25:53, 2016-03-10 04:16:36, 2016-03-11 12:22:31, 2016-03-12 16:52:50, 2016-04-08 11:33:41, 2016-04-15 11:19:48, 2016-04-22 13:19:35, 2016-05-06 11:09:43, 2016-05-10 12:31:19, 2016-05-15 12:29:44, 2016-05-20 11:14:28, 2016-05-22 12:11:56, 2016-06-03 11:12:05, 2016-07-01 17:09:08, 2016-07-09 11:24:54, 2016-07-31 19:18:17, 2016-10-01 17:22:27, 2016-10-06 13:21:50, 2017-01-04 13:53:48, 2017-01-29 17:23:10, 2017-04-22 16:01:45, 2017-05-03 15:02:34, 2017-05-06 17:07:39, 2017-09-03 19:05:08, 2017-12-11 18:02:50, 2018-01-03 16:44:04, 2018-05-04 17:03:44, 2018-07-30 16:53:10, 2018-08-12 15:47:31
--DdmeR16TRb3LsjG0ejrQ	2012-11-02 21:26:42, 2012-11-02 22:30:43, 2012-11-02 22:40:07, 2012-11-03 18:09:26, 2012-11-03 18:11:40, 2012-11-03 18:17:00, 2012-11-03 19:23:49, 2012-11-03 19:32:01, 2012-11-03 19:36:32, 2012-11-03 19:59:49, 2012-11-03 20:13:15, 2012-11-03 20:26:29, 2012-11-03 20:52:13, 2012-11-03 21:31:11, 2012-11-03 21:34:14, 2012-11-04 00:08:56, 2012-11-04 01:53:42, 2012-11-04 02:54:17, 2012-11-04 03:26:53, 2012-11-04 21:27:14, 2013-11-07 03:41:57, 2013-11-10 00:21:52, 2013-11-10 00:26:46, 2013-11-10 23:30:04, 2014-11-14 02:19:10, 2014-11-14 22:37:17, 2014-11-14 22:39:07, 2014-11-14 22:56:11, 2014-11-15 00:09:46, 2014-11-16 20:46:44
--EF5N7P70J_UYBTPypYlA	2018-05-25 19:52:07, 2018-09-18 16:09:44
--EX4rRznJrltyn-34Jz1w	2010-02-26 17:05:40, 2012-12-29 20:05:04, 2012-12-30 22:07:13, 2013-07-01 19:34:11, 2013-08-03 16:44:43, 2013-12-14 19:34:36, 2014-07-12 16:17:28, 2014-08-29 21:03:48, 2014-11-28 07:01:40, 2014-12-13 02:01:52, 2015-12-06 00:09:46, 2017-08-25 20:47:44, 2017-12-15 02:01:13, 2018-06-19 00:04:49
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01:59:16, 2013-09-20 01:59:55, 2013-09-21 01:07:50, 2013-09-22 06:14:45, 2013-10-07 09:14:16, 2013-10-12 02:38:28, 2013-10-19 08:40:11, 2013-10-20 18:16:58, 2013-10-28 07:58:37, 2013-11-10 05:20:05, 2013-11-15 00:41:18, 2013-11-17 04:32:31, 2013-11-24 07:38:08, 2013-11-26 22:08:37, 2013-12-01 01:46:56, 2013-12-07 01:08:04, 2013-12-14 01:34:58, 2013-12-23 01:44:08, 2013-12-23 18:03:19, 2013-12-24 01:32:31, 2014-01-06 19:51:52, 2014-01-11 08:21:08, 2014-01-16 20:24:41, 2014-01-18 21:18:25, 2014-01-18 21:22:28, 2014-01-19 20:28:26, 2014-01-27 05:42:16, 2014-02-13 20:25:19, 2014-02-15 23:24:46, 2014-02-24 20:41:05, 2014-03-05 20:29:45, 2014-04-05 05:10:53, 2014-04-11 03:57:27, 2014-04-11 18:31:40, 2014-04-18 19:18:50, 2014-04-26 19:56:15, 2014-04-27 06:45:55, 2014-05-02 01:15:36, 2014-05-08 00:03:51, 2014-05-12 23:43:52, 2014-05-13 04:51:59, 2014-05-13 19:01:46, 2014-05-23 05:42:49, 2014-05-25 02:34:12, 2014-05-30 22:12:35, 2014-06-01 03:55:25, 2014-06-02 23:52:38, 2014-06-04 22:42:27, 2014-06-09 19:51:04, 2014-06-14 01:05:36, 2014-06-16 00:34:39, 2014-06-21 16:53:21, 2014-07-11 02:15:26, 2014-07-14 18:55:11, 2014-07-15 21:53:01, 2014-07-17 18:57:21, 2014-07-21 09:34:15, 2014-07-22 10:41:06, 2014-07-22 21:59:05, 2014-08-03 06:02:55, 2014-08-06 02:11:35, 2014-08-06 02:24:11, 2014-08-11 04:26:25, 2014-08-11 09:05:51, 2014-08-12 02:41:27, 2014-08-12 03:01:27, 2014-08-22 04:40:01, 2014-08-28 09:01:16, 2014-09-01 21:18:12, 2014-09-07 02:51:29, 2014-09-10 02:20:17, 2014-09-11 03:54:11, 2014-09-13 00:20:12, 2014-09-14 11:51:40, 2014-09-20 01:24:07, 2014-09-20 04:02:31, 2014-09-23 22:25:55, 2014-09-24 01:42:18, 2014-09-28 00:32:58, 2014-09-30 18:55:32, 2014-10-01 05:42:03, 2014-10-03 20:36:06, 2014-10-06 20:14:41, 2014-10-07 05:01:36, 2014-10-09 03:17:38, 2014-10-10 02:13:59, 2014-10-11 05:05:10, 2014-10-18 07:58:15, 2014-10-19 04:41:26, 2014-11-08 05:23:55, 2014-11-12 05:25:26, 2014-11-15 19:59:23, 2014-12-06 05:28:19, 2014-12-16 03:22:20, 2014-12-18 19:11:55, 2014-12-25 22:57:23, 2015-01-08 05:10:24, 2015-01-15 08:20:27, 2015-01-24 02:59:17, 2015-02-10 00:42:03, 2015-02-14 10:49:47, 2015-02-15 06:17:36, 2015-02-16 05:21:11, 2015-02-19 20:10:10, 2015-02-24 23:09:55, 2015-02-26 07:36:58, 2015-02-27 09:40:50, 2015-03-04 11:47:32, 2015-03-07 18:00:16, 2015-03-12 23:03:22, 2015-03-17 12:54:40, 2015-03-18 00:25:00, 2015-03-19 12:48:20, 2015-03-27 01:00:04, 2015-04-02 01:05:10, 2015-04-22 01:07:50, 2015-05-15 19:24:02, 2015-05-19 00:24:49, 2015-05-19 01:38:34, 2015-06-02 02:24:49, 2015-06-07 21:32:16, 2015-06-08 01:15:12, 2015-06-08 03:39:27, 2015-06-13 01:18:57, 2015-06-13 08:58:56, 2015-06-23 07:32:34, 2015-06-30 23:35:52, 2015-07-01 17:57:07, 2015-07-11 07:55:30, 2015-07-12 07:44:35, 2015-07-13 02:40:54, 2015-07-18 12:08:36, 2015-07-21 03:08:03, 2015-07-29 16:25:07, 2015-07-29 16:26:36, 2015-07-30 22:18:27, 2015-08-09 12:30:08, 2015-08-14 20:47:54, 2015-08-15 00:38:31, 2015-08-15 05:09:26, 2015-08-16 05:33:08, 2015-08-23 03:35:20, 2015-08-25 22:50:51, 2015-08-31 01:48:15, 2015-09-09 03:44:15, 2015-09-11 22:47:58, 2015-09-11 22:48:17, 2015-09-13 00:52:17, 2015-09-13 05:13:39, 2015-09-13 19:12:56, 2015-09-16 22:23:31, 2015-09-23 22:07:17, 2015-09-24 06:15:26, 2015-10-04 03:05:19, 2015-10-05 00:07:47, 2015-10-05 00:15:01, 2015-10-05 03:38:31, 2015-10-06 22:15:52, 2015-10-08 22:42:50, 2015-10-09 21:58:11, 2015-10-12 21:40:26, 2015-10-14 02:27:41, 2015-10-17 05:08:49, 2015-10-19 06:02:55, 2015-10-26 00:51:23, 2015-10-29 05:12:27, 2015-11-02 03:10:24, 2015-11-06 00:49:19, 2015-11-11 05:48:02, 2015-11-21 21:56:06, 2015-12-06 10:18:24, 2015-12-08 06:30:36, 2015-12-11 05:23:13, 2015-12-20 19:43:07, 2015-12-24 22:08:56, 2015-12-27 05:38:41, 2015-12-28 01:28:19, 2016-01-01 05:48:36, 2016-01-02 02:45:42, 2016-01-03 19:24:13, 2016-01-09 20:26:28, 2016-01-09 20:38:13, 2016-01-11 21:08:49, 2016-01-22 05:12:03, 2016-01-23 02:14:06, 2016-01-23 15:27:06, 2016-02-13 18:04:49, 2016-02-24 23:34:43, 2016-03-08 05:02:59, 2016-03-22 06:35:41, 2016-03-22 15:28:20, 2016-03-31 00:58:14, 2016-04-01 18:32:59, 2016-04-02 08:38:22, 2016-04-04 02:12:05, 2016-04-16 01:18:00, 2016-04-16 03:59:00, 2016-04-16 04:00:34, 2016-05-01 08:02:59, 2016-05-05 04:48:19, 2016-05-11 06:08:14, 2016-05-15 13:45:00, 2016-05-15 13:46:16, 2016-05-21 18:43:12, 2016-05-22 05:24:28, 2016-05-26 00:34:54, 2016-06-20 01:14:35, 2016-06-24 15:00:46, 2016-07-21 16:05:30, 2016-07-21 16:06:23, 2016-07-29 04:54:30, 2016-08-11 00:11:12, 2016-08-14 02:41:34, 2016-08-15 23:53:32, 2016-08-17 22:47:15, 2016-08-25 05:38:03, 2016-09-05 01:19:29, 2016-09-09 00:45:43, 2016-09-11 18:51:52, 2016-09-11 18:52:30, 2016-09-19 09:17:50, 2016-09-19 09:19:02, 2016-10-03 04:28:56, 2016-10-09 22:41:35, 2016-10-15 03:45:58, 2016-10-15 06:01:05, 2016-10-22 07:01:07, 2016-10-27 10:49:01, 2016-11-02 23:39:56, 2016-11-05 02:46:26, 2016-12-14 03:34:24, 2016-12-18 07:02:57, 2017-01-06 03:00:12, 2017-02-20 10:29:55, 2017-02-22 01:56:04, 2017-02-27 00:14:28, 2017-03-07 01:12:55, 2017-03-12 18:00:02, 2017-03-16 00:47:10, 2017-03-18 02:59:36, 2017-04-13 02:13:45, 2017-04-15 18:04:51, 2017-04-21 00:31:34, 2017-04-21 09:02:50, 2017-04-22 01:44:24, 2017-04-24 17:10:39, 2017-04-24 17:16:53, 2017-04-30 22:52:15, 2017-05-06 04:15:44, 2017-05-24 02:22:04, 2017-06-02 02:06:41, 2017-06-09 02:18:57, 2017-06-09 02:31:26, 2017-06-18 01:08:31, 2017-06-18 01:46:06, 2017-06-30 02:56:26, 2017-06-30 02:56:50, 2017-06-30 03:16:43, 2017-07-09 03:49:05, 2017-07-15 20:14:42, 2017-08-05 18:20:19, 2017-08-19 01:27:42, 2017-08-29 07:38:50, 2017-09-01 18:02:58, 2017-09-09 06:03:10, 2017-09-10 18:08:01, 2017-09-11 18:30:23, 2017-10-07 01:25:54, 2017-10-19 20:19:01, 2017-11-05 22:06:26, 2017-11-11 09:16:06, 2017-11-25 07:04:51, 2017-11-26 04:44:06, 2018-01-06 20:03:34, 2018-01-07 20:34:03, 2018-01-14 18:20:55, 2018-01-22 02:11:52, 2018-01-31 20:09:53, 2018-02-10 06:01:13, 2018-02-28 16:31:25, 2018-03-01 00:30:01, 2018-03-11 07:44:33, 2018-03-19 21:32:38, 2018-04-21 19:39:00, 2018-04-22 19:52:34, 2018-05-08 05:03:24, 2018-05-22 21:48:58, 2018-06-06 15:32:32, 2018-06-20 19:21:31, 2018-07-21 03:58:20, 2018-10-24 21:57:00, 2018-11-10 22:10:36
--FLdgM0GNpXVMn74ppCGw	2012-10-23 18:47:49, 2013-03-04 19:48:50, 2013-03-07 15:59:30, 2013-03-11 18:19:46, 2013-03-14 18:00:58, 2013-03-20 17:47:34, 2013-03-21 17:56:21, 2013-03-25 20:59:29, 2013-04-01 18:14:05, 2013-04-08 18:00:39, 2013-04-11 21:06:21, 2013-04-29 18:41:02, 2013-05-13 17:34:41, 2017-06-02 18:20:00
--GM_ORV2cYS-h38DSaCLw	2011-09-11 18:16:03, 2011-11-18 23:19:16, 2016-06-14 22:40:22, 2016-06-18 15:37:05, 2016-08-07 18:06:34, 2016-09-10 21:51:18, 2016-09-18 01:10:23, 2016-09-20 22:34:06, 2016-12-06 00:22:27, 2016-12-31 21:33:41, 2017-02-23 23:14:23, 2017-03-17 17:56:00, 2017-07-21 23:02:58, 2017-08-18 03:57:47, 2017-08-21 00:40:31, 2017-09-08 21:21:37, 2017-09-10 00:28:42, 2017-10-08 17:15:44, 2017-10-28 17:06:40, 2017-11-03 23:14:07, 2018-01-18 22:32:12, 2018-02-04 22:17:01, 2018-03-10 21:23:58, 2018-03-20 14:48:12, 2018-03-29 23:50:34, 2018-05-14 15:18:24, 2018-05-19 02:51:20, 2018-05-19 17:24:34, 2018-05-27 03:12:21, 2018-06-10 00:32:23, 2018-07-06 16:32:50
--Gc998IMjLn8yr-HTzGUg	2014-07-01 01:20:47
--I7YYLada0tSLkORTHb5Q	2014-11-07 00:51:45, 2014-11-10 23:51:38, 2014-11-14 21:17:04, 2014-11-20 00:29:27, 2014-12-28 00:05:27, 2014-12-28 20:48:59, 2015-02-22 00:01:02, 2015-02-22 00:56:12, 2015-02-22 01:31:08, 2015-03-14 21:20:44, 2015-03-19 22:43:28, 2015-03-25 01:51:19, 2015-03-30 21:32:23, 2015-04-15 21:50:21, 2015-04-20 21:10:15, 2015-04-24 01:14:26, 2015-04-30 22:47:34, 2015-04-30 22:48:56, 2015-05-09 21:34:27, 2015-06-07 15:12:44, 2015-06-27 22:28:09, 2015-06-27 22:30:18, 2015-07-04 15:21:54, 2015-08-01 15:22:07, 2015-08-02 16:16:43, 2015-08-28 23:48:04, 2015-09-05 18:35:39, 2015-10-01 16:18:52, 2015-10-16 01:58:00, 2015-10-22 00:19:44, 2015-10-24 22:36:56, 2015-11-09 02:15:45, 2015-11-15 00:14:35, 2015-11-15 20:01:50, 2015-11-17 23:08:53, 2015-11-23 04:11:19, 2015-12-17 00:08:01, 2015-12-29 00:15:04, 2016-01-09 17:48:52, 2016-01-16 23:19:35, 2016-01-30 22:45:55, 2016-02-02 23:55:02, 2016-02-12 23:23:48, 2016-02-14 21:41:49, 2016-02-26 17:21:28, 2016-03-05 22:30:24, 2016-03-08 00:00:48, 2016-03-25 00:55:20, 2016-04-18 22:17:28, 2016-04-23 19:21:45, 2016-04-26 23:31:23, 2016-05-14 17:06:23, 2016-05-19 23:09:32, 2016-05-24 00:52:35, 2016-06-12 00:20:03, 2016-06-12 00:27:42, 2016-06-18 17:56:32, 2016-07-10 18:23:36, 2016-08-15 23:11:37, 2016-08-16 16:07:42, 2016-08-18 22:27:42, 2016-09-26 23:37:57, 2016-10-10 23:15:03, 2016-10-11 22:34:05, 2016-10-27 21:26:16, 2016-10-28 22:15:49, 2016-11-22 18:33:31, 2016-11-25 22:44:43, 2016-12-01 00:40:19, 2016-12-13 00:37:34, 2016-12-19 17:56:18, 2017-03-17 17:11:06, 2017-04-27 23:19:32, 2017-04-30 13:14:34, 2017-05-02 23:27:36, 2017-05-20 23:55:06, 2017-05-28 18:14:17, 2017-06-17 00:24:46, 2017-06-21 22:02:05, 2017-06-21 22:49:30, 2017-06-26 01:36:27, 2017-07-26 17:16:18, 2017-08-20 00:17:03, 2017-09-07 22:42:42, 2017-09-07 22:49:42, 2017-09-24 23:32:53, 2017-09-26 00:30:59, 2017-09-30 12:22:02, 2017-11-06 23:07:26, 2017-12-30 19:00:39, 2018-01-25 01:24:53, 2018-01-26 23:10:48, 2018-02-03 18:05:54, 2018-02-13 00:12:39, 2018-02-14 16:33:17, 2018-02-14 16:47:40, 2018-03-30 23:27:51, 2018-04-01 04:20:26, 2018-04-01 04:23:21, 2018-04-08 15:44:00, 2018-04-26 22:39:02, 2018-05-24 19:36:37, 2018-08-09 00:13:43, 2018-11-12 18:18:55
--KCl2FvVQpvjzmZSPyviA	2011-07-29 16:53:35, 2011-08-25 00:19:18, 2012-04-20 21:15:39, 2012-06-07 23:27:31, 2012-07-01 03:42:35, 2012-07-07 17:51:12, 2012-08-08 21:01:48, 2012-09-01 05:46:24, 2012-09-08 16:13:40, 2012-09-19 15:25:58, 2012-09-19 21:00:07, 2012-10-10 21:14:56, 2012-10-18 22:22:03, 2012-11-09 00:49:39, 2012-11-09 01:01:09, 2012-12-09 20:02:49, 2013-01-25 20:37:21, 2013-02-02 23:30:26, 2013-02-06 18:49:12, 2013-02-08 00:30:04, 2013-05-08 22:25:18, 2013-05-26 18:03:13, 2013-07-23 21:55:47, 2013-09-30 01:09:59, 2013-10-07 01:58:06, 2013-11-03 21:28:48, 2013-11-11 00:23:15, 2013-11-27 02:22:58, 2014-01-11 20:36:30, 2014-03-25 21:13:10, 2014-07-13 19:22:07, 2014-07-25 02:39:57, 2014-08-01 18:18:10, 2014-09-26 19:26:08, 2014-10-14 02:10:07, 2014-10-29 22:42:55, 2014-11-03 22:28:15, 2014-11-03 22:38:18, 2014-11-12 23:18:24, 2014-11-23 01:34:28, 2014-12-28 03:25:39, 2014-12-29 19:20:53, 2015-01-03 01:39:55, 2015-01-19 13:59:53, 2015-01-25 00:54:54, 2015-01-27 18:01:20, 2015-02-03 23:42:25, 2015-02-14 22:43:09, 2015-04-15 21:39:15, 2015-04-17 23:08:28, 2015-05-03 00:56:38, 2015-06-09 21:53:07, 2015-06-20 18:48:15, 2015-06-23 21:20:17, 2015-08-13 15:25:38, 2015-08-22 23:49:29, 2015-08-24 00:26:18, 2015-08-30 02:41:54, 2015-10-10 19:24:41, 2015-10-14 01:35:36, 2015-10-16 20:35:57, 2015-11-02 18:11:38, 2015-11-05 22:04:20, 2015-11-15 21:49:41, 2015-11-18 21:29:38, 2015-12-12 17:22:05, 2016-01-04 22:49:06, 2016-01-25 00:07:44, 2016-02-26 17:07:59, 2016-04-17 01:56:05, 2016-04-26 19:21:53, 2016-05-14 02:27:43, 2016-05-28 17:36:58, 2016-07-09 19:49:57, 2016-07-23 22:52:28, 2016-07-25 00:08:46, 2016-08-04 16:10:09, 2016-08-21 17:32:39, 2016-10-31 16:54:14, 2017-01-14 04:50:47, 2017-03-12 19:55:15, 2017-04-29 00:08:44, 2017-05-25 18:23:30, 2017-05-28 02:45:12, 2017-05-29 22:51:23, 2017-06-18 20:35:01, 2017-06-23 23:28:38, 2017-07-23 00:54:54, 2017-08-13 04:32:54, 2017-09-11 03:30:24, 2017-10-14 21:24:05, 2017-11-11 19:40:30, 2017-11-25 00:21:50, 2018-02-13 22:17:27, 2018-05-11 20:15:30, 2018-06-19 21:29:11, 2018-06-23 23:03:05, 2018-08-12 00:11:11, 2018-08-25 18:29:50, 2018-09-08 18:42:06
--KQsXc-clkO7oHRqGzSzg	2010-05-02 23:57:32, 2010-05-28 01:47:50, 2010-06-11 19:32:04, 2010-06-17 23:34:45, 2010-06-18 21:48:53, 2010-08-09 21:23:02, 2010-08-21 19:07:57, 2010-08-26 21:38:11, 2010-11-03 19:41:56, 2010-12-20 18:59:44, 2010-12-31 21:17:26, 2011-01-05 21:43:34, 2011-01-12 18:29:15, 2011-01-13 22:26:27, 2011-01-19 23:51:20, 2011-01-21 00:27:41, 2011-01-23 03:15:19, 2011-01-24 15:53:25, 2011-01-26 16:18:13, 2011-01-27 20:29:42, 2011-02-01 01:16:09, 2011-02-04 17:43:53, 2011-03-03 23:56:55, 2011-03-19 21:41:04, 2011-03-23 23:38:47, 2011-03-27 23:50:44, 2011-04-01 00:26:07, 2011-04-01 23:22:22, 2011-04-05 17:53:49, 2011-04-15 16:03:30, 2011-04-26 19:15:50, 2011-05-03 20:18:30, 2011-05-06 00:55:55, 2011-05-13 02:54:14, 2011-05-15 00:27:41, 2011-05-15 00:47:26, 2011-05-15 03:16:36, 2011-05-15 22:49:53, 2011-05-20 23:22:10, 2011-05-21 22:01:52, 2011-05-22 22:15:43, 2011-05-31 22:46:54, 2011-06-19 18:53:14, 2011-06-25 16:57:35, 2011-07-01 20:56:16, 2011-07-06 03:58:53, 2011-07-06 22:48:16, 2011-07-15 19:43:10, 2011-07-16 20:19:37, 2011-07-17 18:15:26, 2011-07-18 19:35:03, 2011-07-19 02:44:15, 2011-07-20 19:44:37, 2011-07-25 00:40:58, 2011-07-26 00:51:14, 2011-07-26 19:16:07, 2011-07-27 18:11:10, 2011-07-31 18:23:18, 2011-07-31 23:58:23, 2011-08-02 02:18:11, 2011-08-03 00:45:04, 2011-08-03 01:49:51, 2011-08-04 00:23:21, 2011-08-06 00:05:09, 2011-08-06 19:04:16, 2011-08-07 18:48:20, 2011-08-09 01:34:53, 2011-08-10 03:53:01, 2011-08-10 15:05:46, 2011-08-11 16:57:11, 2011-08-12 22:26:44, 2011-08-12 23:37:32, 2011-08-13 18:53:39, 2011-08-14 19:57:21, 2011-08-16 03:29:36, 2011-08-16 15:11:56, 2011-08-25 19:19:01, 2011-08-28 18:28:41, 2011-09-01 22:12:10, 2011-09-03 23:57:39, 2011-09-09 21:20:55, 2011-09-10 21:18:31, 2011-09-10 23:12:59, 2011-09-20 14:45:37, 2011-09-20 15:59:48, 2011-09-23 22:21:37, 2011-09-23 22:47:52, 2011-10-01 17:26:04, 2011-10-05 18:13:37, 2011-10-11 00:06:46, 2011-10-15 23:31:47, 2011-10-30 00:23:00, 2011-10-30 23:05:16, 2011-11-01 22:53:54, 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00:23:00, 2013-05-20 01:48:37, 2013-05-26 15:17:55, 2013-05-28 01:14:35, 2013-06-06 00:25:17, 2013-06-11 13:50:20, 2013-06-13 22:28:00, 2013-06-14 13:20:29, 2013-06-15 19:10:17, 2013-06-15 19:15:06, 2013-06-20 00:19:09, 2013-06-20 13:57:33, 2013-06-22 15:10:55, 2013-07-11 02:51:07, 2013-07-13 14:41:28, 2013-07-20 17:05:39, 2013-07-20 17:10:13, 2013-07-25 01:41:40, 2013-07-26 00:18:14, 2013-07-27 17:50:26, 2013-07-31 13:48:23, 2013-08-03 21:01:30, 2013-08-11 23:03:08, 2013-08-20 13:50:51, 2013-08-25 23:42:37, 2013-08-28 13:51:30, 2013-09-01 15:20:26, 2013-09-06 19:41:17, 2013-09-15 20:09:20, 2013-10-03 21:04:56, 2013-10-06 01:20:23, 2013-10-07 00:25:25, 2013-10-13 23:38:33, 2013-10-18 18:47:30, 2013-10-18 18:48:25, 2013-10-26 18:09:58, 2013-10-28 02:52:33, 2013-10-29 00:44:34, 2013-10-29 00:44:48, 2013-11-03 19:39:36, 2013-11-11 13:48:29, 2013-11-22 04:18:29, 2013-11-24 20:50:26, 2013-11-25 18:52:18, 2013-11-27 17:52:31, 2013-12-06 13:51:23, 2013-12-09 13:51:28, 2013-12-13 13:45:15, 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03:39:50, 2014-06-20 00:54:19, 2014-06-24 04:00:07, 2014-06-28 21:44:45, 2014-06-29 22:11:09, 2014-07-05 02:06:20, 2014-07-06 15:05:21, 2014-07-09 13:46:58, 2014-07-12 03:36:42, 2014-07-14 01:07:00, 2014-07-20 02:27:22, 2014-07-23 03:10:42, 2014-07-24 02:19:41, 2014-07-29 13:54:56, 2014-08-02 02:47:13, 2014-08-04 02:16:35, 2014-08-06 01:33:14, 2014-08-09 00:21:01, 2014-08-12 02:20:38, 2014-08-19 02:12:06, 2014-08-22 03:48:14, 2014-08-22 18:01:52, 2014-08-24 21:22:12, 2014-08-30 18:45:31, 2014-09-02 13:55:26, 2014-09-07 20:13:57, 2014-09-16 00:22:46, 2014-09-22 02:36:20, 2014-09-23 17:44:42, 2014-09-27 15:25:37, 2014-10-10 04:37:56, 2014-10-18 19:02:15, 2014-10-26 05:20:42, 2014-11-02 19:22:16, 2014-11-04 13:55:06, 2014-11-08 20:22:11, 2014-11-16 23:07:55, 2014-11-18 08:31:37, 2014-11-23 02:44:51, 2014-11-23 23:41:43, 2014-11-27 03:33:39, 2014-12-05 20:00:32, 2014-12-08 13:22:24, 2014-12-17 02:45:19, 2014-12-20 22:29:10, 2014-12-25 00:03:36, 2014-12-29 18:33:52, 2015-01-04 04:33:10, 2015-01-11 17:57:55, 2015-01-18 00:26:58, 2015-01-22 03:12:01, 2015-02-07 05:31:26, 2015-02-08 19:41:27, 2015-02-08 22:54:51, 2015-02-17 04:52:01, 2015-02-21 23:02:48, 2015-02-23 01:15:10, 2015-02-27 03:04:29, 2015-02-28 09:29:14, 2015-03-08 21:24:41, 2015-03-15 17:36:04, 2015-03-20 22:02:15, 2015-04-19 01:25:33, 2015-04-25 02:40:21, 2015-04-28 00:11:37, 2015-05-19 04:12:16, 2015-05-21 21:45:48, 2015-05-23 00:10:54, 2015-05-24 18:02:18, 2015-05-25 22:59:10, 2015-06-02 13:15:11, 2015-06-23 01:28:12, 2015-06-24 02:32:59, 2015-06-27 21:55:13, 2015-07-28 13:30:57, 2015-09-11 00:40:56, 2015-09-14 13:16:00, 2015-09-21 23:28:22, 2015-09-23 23:49:10, 2015-10-17 15:53:43, 2015-11-14 17:12:09, 2015-11-25 23:06:56, 2015-11-25 23:12:50, 2015-11-28 02:38:01, 2015-11-29 16:37:36, 2015-12-31 21:39:19, 2016-01-19 01:54:23, 2016-01-23 18:50:38, 2016-02-05 23:40:57, 2016-03-12 16:17:39, 2016-03-13 20:22:09, 2016-03-26 02:39:08, 2016-04-08 01:24:32, 2016-04-10 21:25:01, 2016-04-14 20:45:42, 2016-04-15 00:03:33, 2016-04-18 19:38:59, 2016-04-19 23:06:44, 2016-04-21 02:17:09, 2016-04-21 20:25:33, 2016-04-22 15:29:20, 2016-04-25 13:13:40, 2016-04-30 01:00:30, 2016-05-06 01:21:43, 2016-05-08 06:00:33, 2016-05-09 01:03:02, 2016-05-14 00:33:52, 2016-05-16 21:31:23, 2016-05-18 22:14:24, 2016-05-19 23:52:38, 2016-05-23 19:07:52, 2016-05-26 08:19:26, 2016-05-27 22:22:59, 2016-06-03 00:09:15, 2016-06-03 04:50:04, 2016-06-09 00:15:08, 2016-06-09 20:38:03, 2016-06-10 01:38:56, 2016-06-18 03:03:37, 2016-06-19 21:32:34, 2016-07-04 22:54:53, 2016-07-10 06:07:37, 2016-07-18 07:45:26, 2016-07-26 02:27:59, 2016-07-26 14:51:56, 2016-07-29 00:36:36, 2016-07-29 20:34:57, 2016-08-01 04:47:42, 2016-08-03 13:07:48, 2016-08-06 01:47:41, 2016-08-10 21:11:44, 2016-08-12 02:33:43, 2016-08-29 00:29:50, 2016-09-03 00:35:11, 2016-09-05 02:11:21, 2016-09-14 23:56:40, 2016-09-22 02:22:55, 2016-10-09 18:30:41, 2016-12-25 21:25:42, 2017-01-16 23:40:15, 2017-01-17 00:31:32, 2017-01-27 20:24:07, 2017-03-11 21:47:12, 2017-05-14 22:24:16, 2017-05-28 02:00:55, 2017-11-07 00:39:55, 2018-01-15 02:20:20, 2018-01-20 01:31:05, 2018-01-23 00:14:37, 2018-02-10 01:07:34, 2018-02-26 04:20:44, 2018-03-03 01:05:01, 2018-03-10 00:35:10, 2018-03-17 00:43:44, 2018-03-23 14:57:30, 2018-04-29 02:03:48, 2018-06-09 04:34:31, 2018-06-09 07:49:20, 2018-06-27 01:04:23, 2018-07-19 03:48:47, 2018-08-11 16:31:09, 2018-08-25 00:23:42
--S62v0QgkqQaVUhFnNHrw	2010-12-25 07:04:33, 2011-04-15 21:40:34, 2011-05-20 05:02:45, 2011-06-19 04:37:42, 2011-06-23 04:17:33, 2011-06-30 04:36:44, 2011-10-24 01:39:03, 2011-11-24 13:01:22, 2011-12-16 03:59:38, 2012-01-04 03:13:27, 2012-01-19 20:47:59, 2012-02-29 14:55:46, 2012-04-03 17:56:59, 2012-05-15 16:11:58, 2012-05-20 15:54:44, 2012-07-21 14:45:58, 2012-07-24 20:11:26, 2012-10-28 16:33:08, 2013-04-19 01:56:46, 2013-04-26 02:46:08, 2013-06-10 04:05:15, 2013-06-16 16:48:47, 2013-07-11 06:20:37, 2013-10-27 00:57:32, 2013-11-09 22:29:49, 2013-11-10 18:34:48, 2013-11-27 15:30:24, 2013-12-29 08:27:02, 2014-07-09 13:41:26, 2014-08-16 04:07:11, 2014-09-08 16:43:34, 2014-10-06 14:20:03, 2014-11-02 16:22:48, 2014-11-28 18:52:54, 2014-12-15 11:38:08, 2014-12-25 03:00:59, 2014-12-27 05:12:41, 2015-01-24 02:34:49, 2015-04-21 10:57:59, 2015-04-30 01:57:12, 2015-05-11 14:17:57, 2015-05-25 16:00:54, 2015-06-20 01:21:46, 2015-07-17 05:45:08, 2015-07-21 06:01:54, 2015-07-29 14:50:13, 2015-09-02 05:40:16, 2015-11-22 17:35:49, 2016-01-16 17:30:19, 2016-01-29 17:00:21, 2016-02-11 09:10:00, 2016-02-13 06:07:59, 2016-02-27 15:55:00, 2016-03-23 14:12:30, 2016-08-28 15:48:36, 2017-02-12 17:48:31, 2017-02-25 05:39:42, 2017-11-06 15:36:22, 2017-11-24 08:46:23, 2017-12-10 15:55:13, 2017-12-26 01:05:11, 2018-02-01 17:25:56, 2018-02-16 13:17:51, 2018-04-21 12:42:32, 2018-09-21 16:02:14, 2018-11-12 14:39:13
--SrzpvFLwP_YFwB_Cetow	2011-02-10 03:51:06, 2011-02-28 20:35:49, 2011-07-08 23:12:27, 2011-10-23 23:35:01, 2011-12-29 16:26:13, 2011-12-29 16:27:53, 2012-02-27 22:56:27, 2012-04-22 00:28:08, 2012-04-23 17:17:51, 2012-07-13 02:41:41, 2012-07-15 15:04:25, 2012-07-19 04:07:37, 2012-12-03 00:25:24, 2012-12-24 23:16:02, 2012-12-31 20:25:24, 2013-01-26 19:17:23, 2013-03-02 18:50:29, 2013-03-29 01:00:15, 2013-04-13 17:03:37, 2013-04-17 22:02:39, 2013-04-23 23:35:32, 2013-07-31 06:13:17, 2013-09-07 23:12:42, 2013-11-05 03:12:42, 2013-11-29 19:31:21, 2014-01-07 20:01:41, 2014-02-13 02:21:09, 2014-04-17 19:17:49, 2014-05-14 17:29:21, 2014-05-23 22:07:49, 2014-05-24 22:41:02, 2014-06-21 03:11:18, 2014-07-01 23:22:49, 2014-07-31 01:39:33, 2014-08-09 21:53:22, 2014-08-12 23:17:28, 2014-08-14 01:04:09, 2014-08-18 00:13:09, 2014-08-27 23:07:21, 2014-08-30 00:07:52, 2014-08-30 04:54:08, 2014-09-03 00:07:25, 2014-09-14 23:50:03, 2014-09-22 18:29:58, 2014-09-29 00:07:58, 2014-10-11 18:57:05, 2014-10-12 20:32:36, 2014-10-20 22:57:32, 2014-10-27 00:07:23, 2014-12-10 00:30:32, 2014-12-20 00:06:35, 2014-12-21 00:40:03, 2014-12-28 01:12:57, 2014-12-29 21:52:48, 2015-01-04 02:30:48, 2015-01-09 01:16:20, 2015-01-11 00:04:28, 2015-01-15 01:17:35, 2015-02-18 01:14:50, 2015-02-21 19:05:10, 2015-03-14 17:52:51, 2015-03-15 16:58:24, 2015-03-16 23:24:16, 2015-03-28 16:53:45, 2015-04-07 22:28:16, 2015-04-12 00:36:55, 2015-04-15 23:59:27, 2015-04-19 02:13:00, 2015-05-31 03:02:03, 2015-06-19 02:13:16, 2015-08-19 21:29:55, 2015-09-05 01:19:21, 2015-09-12 03:55:06, 2015-09-15 23:49:52, 2015-09-15 23:49:52, 2015-09-26 20:37:18, 2015-11-21 20:29:42, 2015-12-05 17:37:48, 2015-12-07 00:59:28, 2015-12-07 01:01:19, 2015-12-25 23:33:08, 2015-12-27 01:25:01, 2016-01-01 21:55:46, 2016-01-02 04:59:01, 2016-02-28 17:44:41, 2016-03-07 22:39:49, 2016-03-13 22:33:28, 2016-03-13 23:34:46, 2016-03-29 01:20:55, 2016-04-03 17:18:00, 2016-04-10 22:01:42, 2016-04-10 22:37:25, 2016-04-18 01:49:44, 2016-05-16 01:20:53, 2016-05-22 21:20:55, 2016-05-23 16:15:52, 2016-05-23 23:06:38, 2016-06-19 14:53:44, 2016-06-29 01:30:21, 2016-07-14 03:13:38, 2016-09-02 21:32:15, 2016-09-04 18:46:28, 2016-09-10 04:33:41, 2016-09-16 21:54:05, 2016-09-17 03:55:07, 2016-10-10 00:54:07, 2016-10-25 22:52:44, 2016-10-30 02:37:05, 2016-12-24 20:48:20, 2017-01-15 18:14:53, 2017-01-16 19:05:16, 2017-01-30 17:36:04, 2017-01-31 18:28:11, 2017-03-05 02:04:09, 2017-03-08 23:58:16, 2017-03-31 18:00:50, 2017-04-10 16:56:47, 2017-05-15 00:40:42, 2017-05-18 03:41:50, 2017-05-22 01:02:21, 2017-05-22 01:02:23, 2017-05-22 23:46:38, 2017-06-06 01:28:36, 2017-06-15 15:20:58, 2017-06-18 00:42:21, 2017-06-25 20:46:05, 2017-06-29 19:38:15, 2017-07-05 22:21:21, 2017-07-08 23:10:24, 2017-07-15 18:55:58, 2017-08-15 01:23:30, 2017-08-16 23:32:52, 2017-08-21 23:03:01, 2017-08-23 23:06:24, 2017-08-23 23:24:59, 2017-08-24 00:10:57, 2017-08-24 00:14:15, 2017-08-24 00:15:18, 2017-09-02 01:35:37, 2017-09-11 19:29:30, 2017-09-15 23:59:31, 2017-10-01 23:10:44, 2017-10-07 03:16:38, 2017-10-15 00:49:30, 2017-10-15 18:11:12, 2017-10-20 16:20:39, 2017-10-26 21:03:40, 2017-11-18 02:00:13, 2017-12-22 23:11:01, 2018-01-02 21:35:54, 2018-01-14 00:20:44
--TcDRzRIxhvHM4DSgEuMA	2012-03-05 04:07:17, 2012-05-23 07:00:13, 2013-02-27 07:32:26, 2013-04-02 21:39:10, 2013-04-08 19:53:31, 2013-09-24 18:21:43, 2013-10-15 04:23:48, 2018-01-02 00:53:11, 2018-10-20 05:20:52
--U98MNlDym2cLn36BBPgQ	2011-10-05 22:50:41, 2012-04-11 00:06:36, 2012-07-17 23:55:20
--WsruI0IGEoeRmkErU5Gg	2018-08-04 00:51:14, 2018-08-04 14:55:40
--Y7NhBKzLTbNliMUX_wfg	2015-03-26 16:47:31, 2015-04-01 20:01:14
--YPwqIlRJrhHkJcjY3eiA	2016-06-18 21:35:45, 2016-10-15 18:17:51
--ab39IjZR_xUf81WyTyHg	2010-11-23 16:19:46, 2011-01-08 01:30:14, 2011-01-25 02:15:55, 2011-03-29 18:43:26, 2011-04-18 23:06:45, 2011-06-13 17:30:58, 2011-07-17 21:51:33, 2011-08-06 19:16:51, 2011-08-14 22:55:09, 2011-08-28 19:27:27, 2011-09-06 00:08:39, 2011-10-16 20:47:04, 2011-10-16 20:49:39, 2011-11-17 23:00:18, 2011-11-17 23:00:41, 2011-11-26 03:50:17, 2011-11-26 03:56:52, 2012-02-01 23:21:04, 2012-08-11 21:05:27, 2012-08-25 18:41:24, 2012-09-15 22:56:57, 2012-10-07 23:29:56, 2012-10-14 02:42:27, 2012-11-07 02:18:08, 2012-12-16 00:09:12, 2012-12-29 18:31:23, 2013-01-15 01:42:57, 2013-02-14 20:25:44, 2013-02-22 00:56:47, 2013-03-30 17:01:03, 2013-06-08 03:27:07, 2013-07-06 20:32:16, 2013-07-27 21:56:19, 2013-08-07 02:32:48, 2013-08-08 02:17:15, 2013-12-13 18:36:39, 2013-12-15 01:42:52, 2014-03-07 17:35:33, 2014-03-10 21:56:37, 2014-04-08 23:28:13, 2014-07-19 21:30:24, 2014-09-04 00:25:32, 2014-10-22 00:28:26, 2014-11-13 20:27:44, 2015-02-04 20:42:28, 2015-02-14 03:38:03, 2015-03-30 18:36:29, 2015-05-09 02:09:30, 2015-09-26 18:23:13, 2015-10-03 23:14:39, 2015-12-17 23:47:53, 2016-03-19 20:14:37, 2016-03-23 00:41:09, 2016-04-02 03:43:10, 2016-04-05 19:25:20, 2016-05-16 18:19:00, 2016-07-28 17:48:57, 2016-12-21 01:02:20, 2017-02-05 00:16:11, 2017-03-04 00:47:42, 2017-05-28 18:36:17, 2017-10-23 04:09:50, 2018-02-24 22:09:50, 2018-03-25 01:51:04, 2018-03-26 18:43:58, 2018-09-11 17:55:35, 2018-10-04 03:49:48
--cZ6Hhc9F7VkKXxHMVZSQ	2010-04-24 19:48:58, 2010-05-01 19:28:23, 2010-06-03 21:16:03, 2010-06-24 21:55:50, 2010-07-03 02:12:25, 2010-07-17 15:58:08, 2010-07-27 22:19:35, 2010-07-27 23:14:05, 2010-08-13 22:46:23, 2010-08-30 03:09:10, 2010-09-20 22:27:28, 2010-09-28 01:09:41, 2010-09-29 18:14:46, 2010-10-01 17:51:35, 2010-10-03 13:31:42, 2010-10-07 17:02:44, 2010-10-18 17:09:56, 2010-10-27 18:37:59, 2010-11-04 17:33:29, 2010-11-09 17:55:25, 2010-11-10 18:36:24, 2010-11-24 19:43:56, 2010-11-30 16:56:00, 2010-12-02 01:48:28, 2010-12-03 00:17:49, 2010-12-16 16:00:51, 2010-12-30 19:07:05, 2010-12-30 22:36:07, 2011-01-20 22:52:41, 2011-01-22 17:47:46, 2011-01-28 19:17:08, 2011-02-03 17:42:01, 2011-02-06 00:23:27, 2011-02-08 01:33:30, 2011-02-09 17:13:00, 2011-02-15 23:51:21, 2011-03-16 23:54:01, 2011-03-17 18:02:17, 2011-04-02 23:29:27, 2011-04-04 23:37:14, 2011-04-13 22:58:07, 2011-04-13 23:00:19, 2011-04-18 23:19:31, 2011-04-20 20:09:56, 2011-04-24 00:46:08, 2011-04-27 17:09:17, 2011-04-28 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--cgVkbWTiga3OYTkymKqA	2010-08-10 11:35:52, 2010-08-11 11:11:53, 2011-06-20 11:34:45
--cjBEbXMI2obtaRHNSFrA	2015-04-09 23:00:00, 2015-04-09 23:13:51, 2015-04-09 23:17:37, 2015-04-10 22:45:20, 2015-04-12 00:38:35, 2015-04-18 00:12:13, 2015-04-24 14:16:32, 2015-04-24 21:37:24, 2015-04-24 22:17:14, 2015-05-09 00:46:49, 2015-05-09 01:43:44, 2015-05-14 22:07:50, 2015-05-15 21:49:53, 2015-05-22 02:00:07, 2015-05-22 02:01:45, 2015-05-22 21:41:18, 2015-05-28 02:39:08, 2015-05-29 23:09:13, 2015-06-05 21:06:44, 2015-06-27 23:47:46, 2015-07-10 22:02:26, 2015-07-17 21:20:42, 2015-07-17 21:45:20, 2015-07-18 04:31:41, 2015-08-01 00:22:13, 2015-08-07 21:47:03, 2015-08-15 01:41:12, 2015-08-20 22:25:32, 2015-08-20 23:16:47, 2015-08-27 00:20:50, 2015-08-28 23:26:04, 2015-08-29 23:45:52, 2015-09-11 22:23:05, 2015-09-11 22:42:44, 2015-09-12 00:34:11, 2015-09-24 21:26:54, 2015-10-02 23:14:02, 2015-10-10 01:13:11, 2015-10-11 04:24:05, 2015-10-15 01:48:13, 2015-10-16 22:30:11, 2015-10-18 00:07:46, 2015-10-18 00:53:30, 2015-10-23 22:52:18, 2015-11-06 22:08:28, 2015-11-06 23:20:27, 2015-11-13 22:11:07, 2015-11-25 22:39:41, 2015-12-05 01:17:23, 2015-12-05 21:37:08, 2015-12-13 04:33:36, 2015-12-13 04:46:30, 2015-12-31 01:11:34, 2016-01-08 22:47:36, 2016-01-17 01:52:05, 2016-02-05 01:08:44, 2016-02-06 00:23:11, 2016-02-14 02:21:45, 2016-02-21 03:16:54, 2016-03-12 01:36:27, 2016-04-01 03:52:20, 2016-04-03 03:35:00, 2016-04-09 23:39:07, 2016-04-14 22:54:13, 2016-04-22 22:37:12, 2016-04-24 01:35:39, 2016-04-27 21:51:03, 2016-04-28 01:09:55, 2016-05-19 21:18:23, 2016-05-19 22:14:10, 2016-05-21 01:14:24, 2016-05-28 02:05:51, 2016-05-28 02:40:37, 2016-06-05 00:50:27, 2016-06-18 23:31:56, 2016-07-08 22:12:00, 2016-07-31 03:36:16, 2016-09-03 01:29:15, 2016-09-05 19:59:49, 2016-09-09 23:18:18, 2016-09-17 22:46:03, 2016-10-07 23:07:07, 2016-10-21 23:26:41, 2016-10-30 01:37:32, 2016-10-30 04:28:14, 2016-11-04 22:37:35, 2016-11-12 00:36:41, 2016-11-16 00:40:44, 2016-11-26 01:32:18, 2016-12-18 04:39:24, 2017-01-27 01:59:47, 2017-01-27 23:44:37, 2017-02-02 01:47:51, 2017-02-04 02:29:32, 2017-02-12 04:45:06, 2017-02-12 04:46:00, 2017-02-17 02:04:04, 2017-03-05 05:32:21, 2017-03-31 02:56:38, 2017-04-09 04:04:45, 2017-04-23 03:41:36, 2017-05-18 20:57:13, 2017-05-21 05:40:09, 2017-06-23 02:21:01, 2017-08-04 01:17:05, 2017-08-05 03:05:38, 2017-10-18 02:17:20, 2017-11-11 00:49:28, 2017-11-18 04:48:53, 2017-11-26 05:55:02, 2017-12-24 00:25:16, 2018-01-06 03:25:20, 2018-02-04 01:22:52, 2018-03-10 03:52:27, 2018-03-25 00:24:46, 2018-03-25 04:43:35, 2018-04-06 03:25:42, 2018-05-06 00:46:15, 2018-07-14 01:42:38, 2018-07-15 02:25:16, 2018-08-10 23:45:09, 2018-08-18 01:26:15, 2018-08-26 01:52:01, 2018-10-20 22:14:17, 2018-10-20 22:15:02, 2018-11-04 01:46:50
--e8PjCNhEz32pprnPhCwQ	2015-04-02 21:45:17
--g-a85VwrdZJNf0R95GcQ	2013-11-28 00:41:50, 2013-12-07 01:09:31, 2013-12-11 01:49:28, 2013-12-14 04:52:15, 2013-12-19 20:10:59, 2013-12-26 19:59:19, 2013-12-28 19:23:25, 2013-12-28 23:02:08, 2014-01-01 00:10:24, 2014-01-01 00:10:25, 2014-01-06 23:54:04, 2014-01-06 23:55:24, 2014-01-22 20:58:37, 2014-01-26 19:27:03, 2014-01-31 22:02:59, 2014-03-22 19:51:29, 2014-04-08 00:52:33, 2014-04-26 22:29:49, 2014-04-29 18:54:49, 2014-05-14 19:16:51, 2014-05-23 19:35:34, 2014-06-17 02:03:25, 2014-06-24 19:29:04, 2014-07-30 22:01:41, 2014-08-10 00:28:31, 2014-09-18 19:47:59
--i1tTcggBi4cPkd-h5hDg	2010-03-16 14:44:08, 2010-05-02 15:45:20, 2011-01-30 21:18:55, 2011-02-17 15:54:35, 2011-02-27 21:50:08, 2011-04-03 16:57:37, 2011-06-18 16:24:34, 2011-06-29 17:23:43, 2011-09-20 15:01:01, 2011-10-09 20:27:54, 2011-11-08 16:21:01, 2011-11-16 16:00:23, 2011-12-22 16:33:52, 2011-12-26 17:32:41, 2012-03-14 17:01:19, 2012-03-16 18:20:09, 2012-04-15 17:08:51, 2012-04-20 13:58:46, 2012-05-31 15:19:36, 2012-06-27 19:28:56, 2012-07-08 04:15:33, 2012-08-21 16:26:07, 2012-09-21 17:00:18, 2012-10-04 22:39:12, 2012-11-18 17:19:51, 2012-12-28 21:22:28, 2013-01-19 15:50:13, 2013-02-10 17:43:34, 2013-02-11 22:30:30, 2013-02-27 13:51:36, 2013-02-28 14:43:42, 2013-03-01 18:57:16, 2013-04-14 17:58:40, 2013-05-08 23:24:09, 2013-05-11 19:41:12, 2013-06-27 20:46:00, 2013-07-03 16:32:12, 2013-12-12 18:09:29, 2014-01-17 17:45:56, 2014-02-04 19:18:28, 2014-02-08 16:21:13, 2014-02-08 16:29:32, 2014-02-09 18:20:00, 2014-02-13 13:52:28, 2014-03-20 16:40:10, 2014-03-31 20:08:29, 2014-04-01 00:36:11, 2014-04-01 13:12:21, 2014-04-02 15:08:47, 2014-04-03 16:06:47, 2014-04-07 17:49:02, 2014-04-26 20:33:56, 2014-05-05 19:15:38, 2014-05-06 14:08:58, 2014-05-07 13:34:35, 2014-05-08 13:24:01, 2014-05-09 13:18:24, 2014-05-10 13:05:42, 2014-05-11 13:16:04, 2014-05-12 13:23:49, 2014-06-04 17:30:17, 2014-06-23 20:17:17, 2014-06-24 20:47:24, 2014-06-29 16:50:05, 2014-07-05 02:57:43, 2014-07-14 18:27:42, 2014-07-15 18:03:41, 2014-09-01 15:48:29, 2014-09-13 19:40:05, 2014-09-16 18:00:10, 2015-02-23 18:59:59, 2015-03-31 14:48:38, 2015-04-01 13:09:57, 2015-09-15 14:30:28, 2015-09-19 14:52:47, 2015-10-03 17:52:19, 2015-10-15 18:12:28, 2016-03-15 19:41:28, 2016-06-01 22:27:24, 2016-06-02 16:20:02, 2016-06-12 18:34:05, 2016-07-04 15:45:18, 2017-01-14 04:47:07, 2017-03-04 18:41:13, 2017-04-23 23:33:26, 2017-05-06 02:05:15, 2017-08-18 17:12:39, 2018-03-05 15:57:12, 2018-04-28 21:44:03, 2018-06-02 18:55:04, 2018-06-27 17:52:34, 2018-07-10 14:52:44, 2018-08-20 16:41:18
--irMpXK9y_xLlXPvPAQvw	2011-05-05 12:20:54, 2012-01-25 21:09:52, 2012-03-25 13:18:41, 2012-04-20 19:58:59, 2012-06-07 16:16:19, 2014-06-08 16:34:12, 2014-11-15 21:46:41, 2015-02-12 16:44:39, 2015-03-21 18:04:50, 2015-04-25 16:07:09, 2015-05-02 19:22:39, 2015-12-05 19:54:32, 2016-02-09 21:08:37, 2017-01-14 19:08:18, 2017-07-12 20:08:09, 2017-08-06 22:03:32
--kinfHwmtdjz03g8B8z8Q	2014-08-27 17:49:18, 2015-12-19 21:30:31
--lZAZSwpP_axKoL4lR9dQ	2015-09-13 19:24:19
--lpHMVmkCuji0ZrpHtXEA	2014-07-10 17:48:01, 2014-07-31 17:35:33, 2014-09-02 20:07:57
--orEUqwTzz5QKbmyYbAWw	2013-03-30 02:31:57
--phjqoPSPa8sLmUVNby9w	2011-01-20 20:17:36, 2011-06-06 16:54:54, 2011-06-20 17:29:22, 2011-07-08 19:45:21, 2011-11-08 20:28:17, 2011-11-22 21:49:20, 2012-03-28 21:43:30, 2012-05-11 20:07:48, 2012-06-15 21:00:04, 2012-11-21 17:38:11, 2013-01-15 16:38:54, 2013-01-15 22:17:28, 2013-01-22 16:50:01, 2013-01-29 16:13:17, 2013-02-01 15:35:31, 2013-02-04 14:49:19, 2013-02-05 23:28:47, 2013-02-07 06:02:11, 2013-02-12 16:09:18, 2013-03-15 23:37:56, 2013-04-18 20:15:20, 2013-04-22 18:27:55, 2013-04-23 20:21:20, 2013-06-12 17:59:20, 2013-07-11 17:25:08, 2013-07-11 22:40:00, 2013-07-12 19:14:04, 2013-07-16 16:52:44, 2013-07-16 19:25:52, 2013-08-30 15:32:43, 2013-10-25 20:26:51, 2014-01-08 18:27:50, 2014-02-12 18:27:31, 2014-02-19 23:16:22, 2014-07-02 18:29:29, 2014-10-17 20:04:10, 2015-01-27 00:39:24, 2015-08-20 15:52:28, 2015-10-20 19:42:06, 2015-12-04 23:31:27, 2016-04-22 22:36:03, 2016-07-18 19:18:34, 2016-08-24 15:58:35, 2016-11-07 21:19:11, 2016-12-28 22:59:27, 2017-10-28 13:37:31
--q6datkI-f0EoVheXNEeQ	2014-01-28 20:56:04, 2014-11-16 16:11:58, 2015-11-15 19:21:53, 2015-11-15 19:33:39
--q7kSBRb0vWC8lSkXFByA	2010-09-26 23:08:32, 2010-10-03 09:06:15, 2010-10-16 23:57:00, 2010-10-18 19:57:18, 2010-11-18 03:49:24, 2010-12-26 20:28:01, 2011-01-14 02:46:31, 2011-02-06 01:49:22, 2011-03-10 04:43:15, 2011-03-12 01:51:31, 2011-03-13 19:33:35, 2011-04-22 23:52:50, 2011-05-06 01:07:21, 2011-05-06 08:39:53, 2011-06-17 21:49:58, 2011-07-02 09:22:36, 2011-07-09 21:54:45, 2011-07-10 22:56:09, 2011-07-11 00:24:03, 2011-08-16 02:04:12, 2011-08-20 02:40:36, 2011-08-23 08:06:39, 2011-09-18 03:11:10, 2011-09-20 08:40:40, 2011-09-30 20:50:24, 2011-10-10 07:40:00, 2011-11-06 03:13:08, 2011-12-03 11:22:58, 2011-12-08 03:44:12, 2011-12-11 20:05:09, 2011-12-30 04:31:27, 2012-01-11 06:41:15, 2012-01-21 20:23:22, 2012-01-22 23:42:12, 2012-03-05 08:16:33, 2012-03-17 21:29:10, 2012-03-18 09:36:39, 2012-04-03 03:05:38, 2012-04-14 01:05:57, 2012-05-21 07:51:09, 2012-05-31 04:59:47, 2012-06-02 03:43:57, 2012-06-11 08:40:43, 2012-07-15 01:20:53, 2012-07-15 05:11:47, 2012-07-17 01:36:26, 2012-07-17 05:32:35, 2012-07-21 05:53:43, 2012-07-22 23:51:54, 2012-07-28 06:57:39, 2012-08-05 07:18:03, 2012-08-06 15:23:10, 2012-08-18 04:09:34, 2012-08-26 21:25:37, 2012-08-30 00:05:48, 2012-08-30 21:37:35, 2012-08-31 22:19:36, 2012-09-01 22:49:06, 2012-10-01 19:16:51, 2012-10-10 04:17:49, 2012-10-21 23:32:11, 2012-10-24 20:44:45, 2012-10-25 20:38:32, 2012-11-09 21:31:23, 2012-11-14 23:18:11, 2012-12-03 01:43:23, 2012-12-14 00:21:41, 2012-12-16 05:55:42, 2012-12-23 09:55:17, 2013-01-05 23:09:43, 2013-01-11 21:42:09, 2013-01-18 00:21:06, 2013-01-26 20:20:23, 2013-01-28 00:02:35, 2013-01-31 02:20:09, 2013-03-01 22:51:29, 2013-03-03 00:38:49, 2013-03-09 01:04:59, 2013-03-17 20:14:59, 2013-03-20 21:37:15, 2013-03-28 21:24:20, 2013-03-30 23:30:09, 2013-03-31 22:03:24, 2013-04-05 23:28:39, 2013-04-19 21:18:03, 2013-04-19 21:19:24, 2013-04-25 21:08:09, 2013-05-01 18:04:30, 2013-05-03 17:57:09, 2013-05-10 17:45:40, 2013-05-18 19:27:18, 2013-06-01 21:34:17, 2013-06-02 21:16:42, 2013-06-05 20:05:52, 2013-06-12 19:31:32, 2013-06-19 18:47:53, 2013-06-23 01:03:31, 2013-07-06 07:16:50, 2013-07-07 19:25:32, 2013-07-28 00:26:55, 2013-08-11 23:13:28, 2013-08-25 00:44:53, 2013-09-04 21:54:44, 2013-09-12 00:42:26, 2013-09-27 17:52:35, 2013-10-05 18:31:50, 2013-10-24 19:59:49

business_id	date	review_id	text	user_id	cool	funny	stars	useful
ujmEBvifdJM6h6RLv4wQIg	2013-05-07 04:34:36	Q1sbwvVQXV2734tPgoKj4Q	Total bill for this horrible service? Over $8Gs. These crooks actually had the nerve to charge us $69 for 3 pills. I checked online the pills can be had for 19 cents EACH! Avoid Hospital ERs at all costs.	hG7b0MtEbXx5QzbzE6C_VA	0	1	1	6
NZnhc2sEQy3RmzKTZnqtwQ	2017-01-14 21:30:33	GJXCdrto3ASJOqKeVWPi6Q	I adore Travis at the Hard Rock's new Kelly Cardenas Salon! I'm always a fan of a great blowout and no stranger to the chains that offer this service; however, Travis has taken the flawless blowout to a whole new level! Travis's greets you with his perfectly green swoosh in his otherwise perfectly styled black hair and a Vegas-worthy rockstar outfit. Next comes the most relaxing and incredible shampoo -- where you get a full head message that could cure even the very worst migraine in minutes --- and the scented shampoo room. Travis has freakishly strong fingers (in a good way) and use the perfect amount of pressure. That was superb! Then starts the glorious blowout... where not one, not two, but THREE people were involved in doing the best round-brush action my hair has ever seen. The team of stylists clearly gets along extremely well, as it's evident from the way they talk to and help one another that it's really genuine and not some corporate requirement. It was so much fun to be there! Next Travis started with the flat iron. The way he flipped his wrist to get volume all around without over-doing it and making me look like a Texas pagent girl was admirable. It's also worth noting that he didn't fry my hair -- something that I've had happen before with less skilled stylists. At the end of the blowout & style my hair was perfectly bouncey and looked terrific. The only thing better? That this awesome blowout lasted for days! Travis, I will see you every single time I'm out in Vegas. You make me feel beauuuutiful!	yXQM5uF2jS6es16SJzNHfg	0	0	5	0
WTqjgwHlXbSFevF32_DJVw	2016-11-09 20:09:03	2TzJjDVDEuAW6MR5Vuc1ug	I have to say that this office really has it together, they are so organized and friendly! Dr. J. Phillipp is a great dentist, very friendly and professional. The dental assistants that helped in my procedure were amazing, Jewel and Bailey helped me to feel comfortable! I don't have dental insurance, but they have this insurance through their office you can purchase for $80 something a year and this gave me 25% off all of my dental work, plus they helped me get signed up for care credit which I knew nothing about before this visit! I highly recommend this office for the nice synergy the whole office has!	n6-Gk65cPZL6Uz8qRm3NYw	0	0	5	3
ikCg8xy5JIg_NGPx-MSIDA	2018-01-09 20:56:38	yi0R0Ugj_xUx_Nek0-_Qig	Went in for a lunch. Steak sandwich was delicious, and the Caesar salad had an absolutely delicious dressing, with a perfect amount of dressing, and distributed perfectly across each leaf. I know I'm going on about the salad ... But it was perfect. Drink prices were pretty good. The Server, Dawn, was friendly and accommodating. Very happy with her. In summation, a great pub experience. Would go again!	dacAIZ6fTM6mqwW5uxkskg	0	0	5	0
b1b1eb3uo-w561D0ZfCEiQ	2018-01-30 23:07:38	11a8sVPMUFtaC7_ABRkmtw	Today was my second out of three sessions I had paid for. Although my first session went well, I could tell Meredith had a particular enjoyment for her male clients over her female. However, I returned because she did my teeth fine and I was pleased with the results. When I went in today, I was in the whitening room with three other gentlemen. My appointment started out well, although, being a person who is in the service industry, I always attend to my female clientele first when a couple arrives. Unbothered by those signs, I waited my turn. She checked on me once after my original 30 minute timer to ask if I was ok. She attended my boyfriend on numerous occasions, as well as the other men, and would exit the room without even asking me or looking to see if I had any irritation. Half way through, another woman had showed up who she was explaining the deals to in the lobby. While she admits timers must be reset half way through the process, she reset my boyfriends, left, rest the gentleman furthest away from me who had time to come in, redeem his deal, get set, and gave his timer done, before me, then left, and at this point my time was at 10 minutes. So, she should have reset it 5 minutes ago, according to her. While I sat there patiently this whole time with major pain in my gums, i watched the time until the lamp shut off. Not only had she reset two others, explained deals to other guest, but she never once checked on my time. When my light turned off, I released the stance of my mouth to a more relaxed state, assuming I was only getting a thirty minute session instead of the usual 45, because she had yet to come in. At this point, the teeth formula was not only burning the gum she neglected for 25 minutes now, but it began to burn my lips. I began squealing and slapping my chair trying to get her attention from the other room in a panic. I was in so much pain, that by the time she entered the room I was already out of my chair. She finally then acknowledged me, and asked if she could put vitamin E on my gum burn (pictured below). At this point, she has treated two other gums burns, while neglecting me, and I was so irritated that I had to suffer, all I wanted was to leave. While I waited for my boyfriend, she kept harassing me about the issue. Saying, "well burns come with teeth whitening." While I totally agree, and under justifiable circumstances would not be as irritate, it could have easily been avoid if she had checked on me even a second time, so I could let her know. Not only did she never check on my physical health, she couldn't even take two seconds to reset the timer, which she even admitted to me. Her accuse was that she was coming in to do it, but I had the light off for a solid two minutes before I couldn't stand the pain. She admitted it should be reset every 15 minutes, which means for 25 minutes she did not bother to help me at all. Her guest in the lobby then proceeded to attack me as well, simply because I wanted to leave after the way I was treated. I also expected a refund for not getting a complete session today, due to the neglect, and the fact I won't be returning for my last, she had failed to do that. She was even screaming from the door, and continued to until my boyfriend and I were down the steps. I have never in my life been more appalled by a grown woman's behavior, who claims to be in the business for "10 years." Admit your wrongs, but don't make your guest feel unwelcome because you can't do you job properly.	ssoyf2_x0EQMed6fgHeMyQ	0	0	1	7
eU_713ec6fTGNO4BegRaww	2013-01-20 13:25:59	fdiNeiN_hoCxCMy2wTRW9g	I'll be the first to admit that I was not excited about going to La Tavolta. Being a food snob, when a group of friends suggested we go for dinner I looked online at the menu and to me there was nothing special and it seemed overpriced. Im also not big on ordering pasta when I go out. Alas, I was outnumbered. Thank goodness! I ordered the sea bass special. It was to die for. Cooked perfectly, seasoned perfectly, perfect portion. I can not say enough good things about this dish. When the server asked how it was he seemed very proud of the dish and said, " doesn't she (the chef) do an incredible job?" She does. My hubby got the crab tortellini and also loved his. I heard "mmmm this is so good" from all around the table. Our waiter was super nice and even gave us free desserts because we were some of the last people in the restaurant. Service was very slow and the place was PACKED but we had our jugs of wine and a large group with good conversation so it didn't seem to bother anyone. So- Do order the calamari and fried zucchini appetizers. Leave out the mussels. If they have the sea bass special, I highly recommend it. The chicken parm and crab tortellini were also very good and very big. The chicken Romano was a bit bland. The house salads were teeny. Do make a reservation but still expect to wait for your food. Go with a large group of people and plan for it to be loud. Don't go with a date unless you're fighting and don't feel like hearing anything they have to say. Ask to sit in the side room if it's available.	w31MKYsNFMrjhWxxAb5wIw	0	0	4	0
3fw2X5bZYeW9xCz_zGhOHg	2016-05-07 01:21:02	G7XHMxG0bx9oBJNECG4IFg	Tracy dessert had a big name in Hong Kong and the one in First Markham place has been here for many years now! Came in for some Chinese dessert, and I must say their selection has increased tremendously over the years. I might as well add that the price has also increased tremendously as well. The waitress gave us tea, which I could taste had red date in it. Fancy! A simple taro with coconut with tapioca pearls was like $5.25 or something. Basically all the desserts were more than $5. That's crazy! I can literally just make this dessert at home and for a bowl, it would probably cost like $0.50. A few years ago, I think I can still get it for like $3-$4, which is more reasonable, but wow, more than $5 is a little over the top for this dessert. Though I must say, it is Tracy Dessert, and they are a little more on the expensive side. I also saw other items on the menu like fish balls, chicken wings, shaved ice. My friend got a mango drink with fresh mango in it! I'm also surprised how many people come to Tracy Dessert after work. We came on a Sunday and the tables were always filled. I think the amount of tables they had were just perfect because no one really waited for seats for a long time, but the tables kept filling up once a table was finished.	jlu4CztcSxrKx56ba1a5AQ	5	4	3	5
zvO-PJCpNk4fgAVUnExYAA	2010-10-05 19:12:35	8e9HxxLjjqc9ez5ezzN7iQ	This place has gone down hill. Clearly they have cut back on staff and food quality Many of the reviews were written before the menu changed. I've been going for years and the food quality has gone down hill. The service is slow & my salad, which was $15, was as bad as it gets. It's just not worth spending the money on this place when there are so many other options.	d6xvYpyzcfbF_AZ8vMB7QA	1	1	1	3
b2jN2mm9Wf3RcrZCgfo1cg	2015-01-18 14:04:18	qrffudO73zsslZbe8B9D3Q	I was really looking forward to visiting after having some of their beers. The "Man O'War" quickly became my favorite DIPA; the Rusulka Vanilla Stout is a good thick, sweet stout; and the Ironclad is a top notch IPA. The only big miss on their beers I've had is the Big Chuck Barleywine. It could probably benefit greatly with age, but at this age all there is to taste is the alcohol. Nonetheless, I had enough to convince me that the other beers I hadn't had from them would be top notch... and they are! The reason for the 2 stars should not reflect the quality of the brewers, they obviously know their craft well! The servers are great and friendly.... but relying on two servers to wait on 100+ customers says a lot about how inexperienced management must be. In fact, after waiting 15 mins at a dirty table I was finally able to track down someone I guessed was an employee to let them know we were even there! After another 5+ mins, the GM finally stopped over to take our drink order. The smugness of this guy was amazing. The thought of offering a simple apology never seemed to enter into his head. This is the time a server finally stopped by to pick up the non-final check left by the party before us... who didn't seem very pleased when leaving. The toast & cheese was good, but by the time we were able to dig into their heartiest offering of food, saltines and butter may have been equally pleasing.	sG_h0dIzTKWa3Q6fmb4u-g	0	0	2	1
oxwGyA17NL6c5t1Etg5WgQ	2012-02-29 21:52:43	RS_GTIT6836bCaPy637kNQ	It's a giant Best Buy with 66 registers. I don't get it. What's the big deal about this place??	nMeCE5-xsdleyxYuNZ_7rA	1	0	3	1
8mIrX_LrOnAqWsB5JrOojQ	2011-11-30 02:11:15	kbtscdyz6lvrtGjD1quQTg	Like walking back in time, every Saturday morning my sister and I was in a bowling league and after we were done, we'd spend a few quarters playing the pin ball machines until our mother came to pick us up. My sister was daring and play the machines hard, she was afraid of that "tilt" showing up and freezing the game. I, on the other hand was a bit more gentler and wanted to make sure I got my quarter's worth. This place has rows and rows of machines, some are really old and some are more of a mid 80's theme. There is even a Ms pac man! It was fun to spend an afternoon playing the machines and remembering all the fun of my early teen years.	FIk4lQQu1eTe2EpzQ4xhBA	0	0	4	0
mRUVMJkUGxrByzMQ2MuOpA	2017-12-15 23:27:08	-I5umRTkhw15RqpKMl_o1Q	Walked in around 4 on a Friday afternoon, we sat at a table just off the bar and walked out after 5 min or so. Don't even think they realized we walked in. However everyone at the bar noticed we walked in!!! Service was non existent at best. Not a good way for a new business to start out. Oh well, the location they are at has been about 5 different things over the past several years, so they will just be added to the list. SMDH!!!	-mA3-1mN4JIEkqOtdbNXCQ	0	1	1	0
FxLfqxdYPA6Z85PFKaqLrg	2016-05-07 01:36:53	Z7wgXp98wYB57QdRY3HQ3w	Wow. So surprised at the one and two star reviews! We started with the most tender calamari. Although the marinara sauce was a bit bland, but a touch of salt made it just right. My husband had the veal with peppers and said it was so delicious and tender. The mashed potatoes were perfect. I had the salmon Diablo which was also delicious. Our salad was beautiful! Dressing was served on the salad and it was a nice amount. We ended our delicious meal with a piece of tiramisu. Our server Matt was right on!! Very pleasant and knowledgeable about the menu. Our appetizer, salad and entrees were timed perfectly. I love salad and did not mind that my entree was served while I was still eating it! No problem it let my dinner cool to just the right temp for me to eat it comfortably. I wonder sometimes if people just don't appreciate relaxing and taking time to eat a wonderful and beautifully prepared meal. A wonderful atmosphere. So relaxing. The chairs are super comfortable too!!! We will certainly be back. Give it a try. Don't always go by the reviews. A bottle of Riesling, calamari app, two delicious entrees and dessert for $92! Well with it.	GYNnVehQeXjty0xH7-6Fhw	0	0	4	0
LUN6swQYa4xJKaM_UEUOEw	2018-04-27 20:25:26	qlXw1JQ0UodW7qrmVgwCXw	Michael from Red Carpet VIP is amazing ! I reached out because I needed help planning my soon to be sister in law's bachelorette. It was a group of 10 girls so I was a little overwhelmed but Michael saved the day! Everything was super smooth and easy! We got good deals and had the best time ever! We booked hotel and a bachelorette package for a great price. I have saved contact info because I will for sure reach out again on next Vegas trip!!!	bAhqAPoWaZYcyYi7bs024Q	0	0	4	0
AakkkTuGZA2KBodKi2_u8A	2012-07-16 00:37:14	JVcjMhlavKKn3UIt9p9OXA	I cannot believe how things have changed in 3 years. I picked up duck congee sometime in the winter when my hubby was sick. I was very disappointed because the ginger fish sauce tasted like it had gone bad (it should never be bitter). Today, my hubby wanted to eat there since he was craving the duck congee and most places don't serve the duck & coleslaw side. We waited about 10 minutes to get our menu. After we placed our orders, we waited another 5 minutes to get the tea that most places bring with the menu. I could go on with the details but the gist of the story is they were understaffed or the staff was slow. The worst part of it was that the service. The servers make us feel bad for asking for anything (like when they took our order). We had arrived and placed our order before another couple bside us at least 10 minutes ahead but somehow, this couple received their pho before mine. They were almost done eating their pho before mine came out.	TpyOT5E16YASd7EWjLQlrw	0	1	1	1
YvrylyuWgbP90RgMqZQVnQ	2017-04-07 21:27:49	svK3nBU7Rk8VfGorlrN52A	You can't really find anything wrong with this place, the pastas and pizzas are both amazing and high quality, the price is very reasonable, the owner and the staff are very friendly, if you're in downtown check this place out, a lot of people think just because it's downtown there are lots of options around but that's not always the case as there is also a lot of poor quality food in downtown as well.	NJlxGtouq06hhC7sS2ECYw	0	0	5	0
NyLYY8q1-H3hfsTwuwLPCg	2015-01-03 22:47:34	1wVA2-vQIuW_ClmXkDxqMQ	Great lunch today. Staff was very helpful in assisting with selections and knowledgeable on the ingredients. We enjoyed the BBQ chicken with tika masala sauce and really good naan bread. The biryani with chicken was also yummy! Fun to see the food being prepared in the tandoori ovens. Great addition to the fast casual scene in Cleveland.	86J5DwcFk4f4In1Vxe2TvA	0	0	4	0
cHdJXLlKNWixBXpDwEGb_A	2015-04-01 16:30:00	6BnQwlxRn7ZuWdzninM9sQ	I love chinese food and I love mexican food. What can go wrong? A couple of things. First things first, this place is more of a "rice bowl" kind of place. I thought it was going to be more diverse as far as the menu goes, but its mainly rice bowls you get with different kinds of meats. The ordering was a little confusing at first, but one of the employees helped us out and I got the 2-item bowl and got the jade chicken and hengrenade chicken with all rice(jerk). I also ordered a jade chicken quesadilla on the side. I'm gonna admit, this place looks kinda dirty. I don't think Arizona uses those health department letter grade system like California does, but if I were to just judge by how it looked inside, i'd give it a "C" grade lol. We waited for about 15 minutes or so and finally got our food. We took it to go and ate at our hotel room. Mmmm... the food was just alright. The jade chicken was nothing special. It tasted like any generic chinese fast food orange chicken/sesame chicken variant. The hengrenade chicken, although was the less spicier version of the jerk chicken, was still pretty spicy for me. Just be warned the jerk chicken is super spicy. If you aren't sure, ask for a sample at the restaurant before ordering, but it was way too spicy for me. The jade chicken quesadilla was decent, but nothing special. Just imagine orange chicken in between a tortilla and cheese. A friend of mine ordered a jade chicken burrito and we were confused when we pulled it out of the bag because it was literally the size of Mcdonald's apple pie. If you order the burrito, be warned that it's a burrito for gnomes and smurfs, but he said it was tasty. They provide a snicker doodle sugar cookie for each meal and it was decent, again nothing special. Not gonna lie, the next day my stomach felt like a little mexican dude and chinese dude were wrestling and throwing molotov cocktails inside. I used the bathroom like 5 times. I don't recommend eating this place if you have a lot to do the next day.	JSrP-dUmLlwZiI7Dp3PQ2A	1	7	3	1
6lj2BJ4tJeu7db5asGHQ4w	2017-05-26 01:23:19	rEITo90tpyKmEfNDp3Ou3A	We've been a huge Slim's fan since they opened one up in Texas about two years ago when we used to live there. This place never disappoints. They even have great salads and grilled chicken. Plus they have fresh brewed sweet tea, it's the best!	6Fz_nus_OG4gar721OKgZA	0	0	5	0
y-Iw6dZflNix4BdwIyTNGA	2014-06-27 21:19:23	4bUyL7lzoWzDZaJETAKREg	Good selection of classes of beers and mains. I've been here twice. First time I had the fried chicken. It was delicious, but be warned, extremely salty. I couldn't even finish the last piece of chicken after experiencing a salt overload. Second time we came on a wednesday. We didn't know it was BBQ night, where they have a completely different menu, and don't offer anything from their original vegetarian-friendly menu. This menu has one vegetarian-friendly option - an eggplant sandwich. The vegetarian in my party said it was awful. Also, on BBQ night you choose 2 sides. Except they were out of all their sides except 2 - fries and potato salad. I can't say I was thrilled to have carb heavy sides with my carb heavy main. How do you run out of sides so early in the evening? Service not so great. I'd avoid coming here on wednesdays.	_N7Ndn29bpll_961oPeEfw	0	0	3	0
qx6WhZ42eDKmBchZDax4dQ	2017-03-27 01:14:37	Amo5gZBvCuPc_tZNpHwtsA	Our family LOVES the food here. Quick, friendly, delicious, and a great restaurant to take kids to. 5 stars!	DzZ7piLBF-WsJxqosfJgtA	0	0	5	1
Mem13A3C202RzT53npn4NA	2017-05-13 10:41:43	IPw8yWiyqnfBzzWmypUHgg	If you are looking for the best pierogies in Pittsburgh, this is your place. There are a few small tables outside but most of the business is carry out. Pierogies Plus wins Best Pierogies every year. Why? Because the owner is from Poland and she is making the real deal pierogies. The best part is that they are hand pinched by a group of older Polish and Hungarian women. The biggest seller is potato and cheese but they sell many flavors. They are like plump pillows of softness. You can buy them buy the dozen. You can get them cold to take home and freeze or warm and ready to eat. The warm ones are served with butter and onions. It's definitely a comfort food. The best part is that they ship internationally. Yes, they are that good.	5JVY32_bmTBfIGpCCsnAfw	9	6	5	9
I4Nr-MVc26qWr08-S3Q1ow	2016-01-17 05:26:22	IByf6mVY0WA838XNSh-5MA	The food is always good and the prices are reasonable. Although it's not exactly a restaurant -- more like a snack bar, limited menu and you walk up to the counter, place your order, wait a minute or so for them to prepare your order, and pay the cashier, then search for a table. Kind of like a sandwich shop. Still a much better choice for value than the other hotel Deli's on the strip.	3CJUJILq7CLHk_9OrvpvQg	0	0	4	0
d_L-rfS1vT3JMzgCUGtiow	2016-07-25 03:57:19	S337tATeouQJdoPYyir29w	Pick any meat on the planet and the chef will make a Mexican style dish with amazing flavor! Wow, fish and lamb tacos to die for. Drinks are great as well.	2mxBNBeFrgDszqGS5tdEHA	0	0	5	0
Sfc8Haz2Yri8Mo1L0E0TsA	2012-11-06 03:41:43	D_UvaenM25iNd6aehTZ0MA	Great food, great service. Obviously fried chicken isn't the healthiest food on earth, but once a month I get that craving for good fried chicken. Their chicken is great, doesn't seem too fatty, and their sides are excellent too. A+	8NwU4TRsD3S6gIfBqFzDMQ	0	0	5	0
FQ1wBQb3aNeRMThSQEV0Qg	2013-12-07 02:32:45	I9HBDyzCqLhTYHCAZIFZQQ	PlumbSmart provided superior service from beginning to end. They were able to repair a badly damaged sewer pipe with only one day's notice. I was particularly pleased with their attention to care when cleaning up the landscape after the job was completed. Their competitive pricing and excellent service make them my first stop for all future plumbing needs. Thank you to Wayne and the whole team! -Scott B	vXZeHaLvdfCPATz5BDavow	0	0	5	4
hd5xm20tfSa70-6UqD9-bg	2014-08-10 22:07:35	W1wbNaUnbMy4b9QqY3_SAg	Unfortunately, I must recommend not to conduct any business with Fast Fix Jewelry and Watch Repairs. The staff is completely unprofessional and I have never been treated so rudely in my life. I was actually shocked and walked away thinking "wow, how do those people even have a job?" I have never written a negative review before, I usually chalk it up to someone having a bad day. I have worked in customer service for 10+ years and I know it is exhausting and bad days happen. But this is a special occasion. I drove 30 minutes to try to find someone who could help me repair a watch band. I was barely greeted upon arrival and right away felt like I was bothering them. The girl behind the counter obviously just wanted me to leave, the blond kid working snapped at me when I asked a question and when I re-asked in order to clarify what he said he snapped again and said, "I already told you?!?" "Is this even authentic?" Shouting at me over his shoulder as he work on something else. I was shocked and just stood there put my watch away awkwardly and left with no one else saying a word to me. There are a lot of places that fix Jewelry in this city and I will be taking my business elsewhere and recommend that people reading this review do the same. Some places, just do not deserve a loyal customer base.	vDr8hBNYigiY70fk1kF5iQ	1	1	1	7
Gyrez6K8f1AyR7dzW9fvAw	2013-12-28 22:28:08	qm97yMwREr7BKkexlwLFbg	their pettuccine was fresh-made in the morning. it was very delicate and yummy! the owner and staffs are super kind and delightful. We also had Veal piccata. it was classic! love this restaurant.	TTRVdTXKcq-xn6-1IWbwEw	1	0	5	0
9nTF596jDvBBia2EXXiOOg	2014-04-19 15:03:17	1daGBpea0sleayFeeXuoYw	if i can give this place no stars i would, i only had their hot pot though, so im not a good judge for anything besides their shabu. i must say, quantity was small, price is expensive for the quality and quantity, and the taste of the soup base is bland as if they just put hot water in. the sauce selection is limited and not very fresh/clean from my perspective. i love hot pot and i would never go back again because home made hot pot can be much better than this place without even trying. anyways, if you have a good appetite for hot pot, you can do yourself a favor and skip this place because it can make you miserable!	q3GeSW9dWN9r_ocqFkhrvg	0	0	1	1
SNL64axQhCO6Z7ohcWg3wA	2017-02-09 03:43:25	DAC4zWY2ZMa1vxpN9RrDvA	This review is in regards to our experience watching SuperBowl 51 February 5, 2017 at the WestGate in the theater/auditorium. Watch the game somewhere else..... To those unfamiliar with The Big Game experience at WestGate you typically would get in line to watch the Superbowl in the theater portion of the hotel around 8 am on Superbowl Sunday. This line can get extremely long yet the earlier you get in line your choice of seating significantly improves.So...after waiting in line for a few hours we were notified the lower portion of the theater was reserved for paid customers who previously purchased wristbands for $100 (including alcohol and hot dogs) and instead we would be seated in the balcony portion of the theater.No problem, something different, we said. Mistake. So at 1:30 pm we were sent upstairs to the balcony to take our seats and prepare to watch the big game at 3:30. Once we take our seats one of us ( we're in a group of 8 ) will hold the seats while the rest of us will go out to the casino floor and gamble or go the the sports book and place a couple last minute bets.Please note the patrons that leave the auditorium will receive a hand stamp or wristband to allow reentry to the theater. BUT INSTEAD.... We were told by Westgate staff that no hand stamps or wristbands would be given and we were ON OUR OWN if we choose to leave and we would not be allowed back in. Wow. That's right, after waiting in line all morning if we wanted to go downstairs to play blackjack, place a bet at the book, or maybe have a bite to eat because no food was made available upstairs we would be out of luck. Nice work Westgate. So we were seated upstairs...stuck. With no food or soda available for purchase. Only beer and water was sold in the balcony food counter. That was at 1:45 p.m. After vigorously complaining to Westgate staff ( to ushers with yellow jackets and security with black jackets ) at 3:04 pm wristbands were given out. At 3:18 hot dogs and soda were made available for sale in the balcony. I believe this was a direct result of all the upset patrons like myself that were seated in the balcony level. In summary, for being the biggest sportbook in Las Vegas this place is dysfunction and fails to satisfy the most basic request to provide food and comfort to betting patrons. A total mess. This place sucks. Watch the big game and bet your money some where else. We will.	yxyRt-zoh_A6PMThX-h9Vw	0	0	1	0
dm6sO_Y8JdKTE1ZM955yug	2014-12-17 19:04:33	0AsmPiAQduxh5jE_si8cLA	ended up here because Raku was closed and it received great ratings on Yelp. I'm so glad I came here. One of the better meals I've had. Started off with the mushroom dish and the lettuce wrap. both were amazing. the lettuce wrap is like having a flavor party in your mouth. also had the panang duck which was terrific. highly recommend all three dishes. one dish that wasn't so good was the seabass with drunken noodles. overall it was an excellent meal, intimate setting, and great service. definitely will be back.	C_hUvw2z0R-Rv0yZb6QCZA	0	0	5	0
XTzKRvWciP_BZ9imk8mmPQ	2014-06-27 21:32:31	bjD0Dqn3k-fi00BXatrytg	I tried this place because my girls are away for a month, and I REALLY wanted to try to wait until they came back, because NOBODY can hold a candle to them, but my toes were desperate. When I went in, they were almost twice what I usually pay to begin with. Then, before starting the pedicure, I specifically told them I already had gel polish on my toes. They didn't tell me right then and there "that will be an extra $5'. No, they waited until it was time to pay, and not only charged me for that, but they charged me all kinds of extra fees that I didn't even ask for! I had also informed the girl that my toenail was loose and needed gluing. While I was looking at my phone, all of a sudden I felt this sensation, and she RIPPED OFF MY TOENAIL!!!! Without even asking me!!!!!! So then she had another girl come and put acrylic on there since the nail underneath was only 1/2 grown. Again, they didn't tell me how much this would be, or even ask my permission, they just charged me at the end. The added stone 'massage' was barely a massage! She rubbed the stones up my lower legs a couple times, and that was it. It lasted about 30 seconds. And when I asked for a design, I'm used to getting a board with a bunch of designs to choose from. She didn't even ask me what I wanted, she just painted a few lines on my two toes and then charge me 5 MORE dollars for that! Ugh, I don't care HOW ugly my toes look next time, I will NEVER go anywhere else besides Bella Nails again, they ROCK!!!!!!! This place was appalling. I didn't want to make a scene, so I just paid the money, but I will NEVER go back!!!!!!!	1fi6x4tnJtlVWaJmoIO9XA	0	1	1	5
CDpoJiqgM04wqQTZ6QkTqQ	2015-12-05 02:37:03	CelUWzp-GnJIiiV1mDUb-g	Love this place downtown but the Scottsdale location has no manners. Sat at bar for 10 min while bartender ignored us. No menu, no water. We walked out and they could have cared less.	tFICmdLtwgFIRcwtlbYQOg	0	0	1	0
3JxKzWquEbPC3yPIfoCiLw	2016-03-07 01:03:08	hUUfzKeDLo930LA9-v2tWQ	Best chinese resto. Highly recommended. 5 stars. Let us support this business. Best in the west valley. Trust me you wont gi wrong coming to this place	uFVAAe0JC81IPmxgT49Hcw	0	0	5	0
YSUcHqlKMPHHJ_cTrqtNrA	2017-12-29 13:55:19	E6B-2U2sGG3xgmnNWZAEew	Came here on a Thursday night at 6:30 p.m. My friends and I had a reservation, but it was not needed - the place was almost empty. SERVICE: Extremely Poor While I enjoyed the company of my friends, I would not come back to this restaurant, primarily because of the poor service. Once we were all seated, we were not greeted by anyone for over half an hour, and when someone did come by, we asked whether we could place our orders, to which he said he could not; he's doing something else - so we waited at least another 15 minutes before someone came to finally take our orders. MAIN: Caprese Salad The salad was okay - a bit salty for my liking. I personally did not find this dish filling, so I ordered the sweet potato fries as well (See below). MAIN: Sweet Potato Fries (this was worth it) These fries were actually very delicious - crispy on the outside and soft on the inside. If you visit this restaurant, I would recommend this particular dish, especially given the price ($8) and the portion size (it was quite large - almost the size of a large plate).	DbccYu3OppWKl21OanZnTg	0	0	1	0
N0apJkxIem2E8irTBRKnHw	2015-01-18 15:30:50	wOv7JiO0EGcJ61P2JcDS1g	Went here last weekend and was pretty disappointed. They did not have one thing that was pictured and recommended on yelp as being good. We started off with the steak grilled skewers which were just Ok, nothing special. My freind got the lasagna and I got some special chicken dish. They were both pretty bland and lacking that kick. Our waitress was really nice and got the manger to switch out our dishes. My freind got the hamburger and I got the shrimp scampi. Her hamburger was better then the lasagna but was still lacking flavor. My scampi was better then the chicken but was also still under seasoned and the noodles were a bit under cooked. With such a big name attached to this restaurant and going on such an empty stomach we had such high hopes. The service was great which is why i gave it three stars.	en0xQXlvRk-ZtKlaW4I8eQ	0	0	2	0
sMzNLdhJZGzYirIWt-fMAg	2015-06-21 00:59:14	RLbWoIri29BcQ8yjzsvQLQ	This place epitomizes the rumored transformation that is in the process of taking place in Pittsburgh. Great food, drinks, and service, but the atmosphere is second to none. Definitely a must visit for locals and visitors alike! You will not feel like you're in "Pittsburgh".	_o740mSNRhMNYuPjSJoPLg	0	0	5	0
IMLrj2klosTFvPRLv56cng	2014-10-11 03:50:27	JIC8qNMbcAPAzQMPrtsTJw	Dinner Was Fantastic! Service was great We started with the corn soup and the tuna tartare. We shared the Filet and Scallops. Both delicious entrees! We didn't realize the steak came with potatoes and ordered two sides Mac and cheese and shishito peppers. I thought the peppers were really hot but I'm a whimp I guess! We will definitely come back	fxrQSMhHlBv6eJVRdchG9Q	1	1	4	1
5OZlLXjU0FXUbrw8Scja6g	2018-02-01 19:01:16	vBRxlgkpDTXjWiYBp1V6GA	They keep there appointments on time and are pretty efficient. However I am very disappointed in how they think that just because I am a girl that I do not know what is going on with my car's tires. The guy that helped me out told me that my two front tires tread was extremely low and that I would be needing two new tires in a month or two. He told me that he could show me the same tires I have on there now and how much they would be. When the I had taken my car to the other Discount Tire they told me it that my tread was actually still really good for how many miles I have on my car. When he told me the price of the two tires it was around $280. Which I had just bought two new ones a couple months before that and they were the same price. So when I bought the two new tires my tire pressure light came on not that long after that. I honestly feel like the tires were not even new and did not look worth $280.	wNyiw6GfVfn5Kphqmux1gw	0	0	1	0
m7ommfJFalI47UksyX04Iw	2014-09-25 08:15:44	eed44nI0eZ4BGKtKXsRJhQ	Met a friend for dinner there tonight. The server only brought us one menu. After she brought us a couple of Cokes she didn't come to our table for 20 mins. After trying to get her attention a few times when she walked by we decided to just order off the bartender. We received the starters and the mains at the same time. The wings, brisket, and mac and cheese were alright at best. At this point we hadn't seen the server since she brought the food, so we had to go to the bar for more napkins and refills on the Cokes. The most we actually saw our server was when she hovered over us as we put the tip into the handheld credit card terminal. Food was somewhere between okay and decent. Service was somewhere between piss poor and terrible.	tAcB1ZohRtjozsymvqqHzQ	1	2	1	6

business_id	compliment_count	date	text	user_id
VaKXUpmWTTWDKbpJ3aQdMw	0	2014-03-27 03:51:24	Great for watching games, ufc, and whatever else tickles yer fancy	UPw5DWs_b-e2JRBS-t37Ag
OPiPeoJiv92rENwbq76orA	0	2013-05-25 06:00:56	Happy Hour 2-4 daily with 1/2 price drinks and slushes AND after 8 half price shakes. They actually have a peanut butter and bacon shake.	Ocha4kZBHb4JK0lOWvE0sg
5KheTjYPu1HcQzQFtm4_vw	0	2011-12-26 01:46:17	Good chips and salsa. Loud at times. Good service. Bathrooms AWFUL. So that tanks my view on this place.	jRyO2V1pA4CdVVqCIOPc1Q
TkoyGi8J7YFjA6SbaRzrxg	0	2014-03-23 21:32:49	The setting and decoration here is amazing. Come check out the waterfall fountain in the middle!	FuTJWFYm4UKqewaosss1KA
AkL6Ous6A1atZejfZXn1Bg	0	2012-10-06 00:19:27	Molly is definately taking a picture with Santa lols	LUlKtaM3nXd-E4N4uOk_fQ
kj1p6NwUGROOoqNySf0I1Q	0	2011-12-31 18:02:42	It's true! The drunken noodles are outrageous!	iAd8XaHxv05iXyEiZ62Ibw
0hudPyuCBlKg79OwKBw-eQ	0	2012-10-11 23:06:21	Only worth a visit in the summer time, to take advantage of the huge sun soaked patio.	w8p4JW6-ERsbg8aB5wjEAg
r49iBfbnfoK7yt4rdsL_7g	0	2016-01-05 06:39:33	Hands down best AYCE in town! Love it!	CaFbX7topxdLpBJ_SNDfGQ
YCRCFBr6myPS49on2aS2pQ	0	2017-03-13 03:29:40	Sat in the drive thru this afternoon for 30 minutes and then was handed the wrong coffee. Booooo, I'm seriously here every day and this was the first bad experience	VLy6l8L72adD7iTBNqiPXw
RTBIiq-fJUXRsrzbL4MCqw	0	2013-02-08 20:55:15	Okay so I had a groupon for a nearby service center, but their wait time was 3 hours! Once again, I find myself back at this Brake Masters. Idk why I bother with anywhere else; This place is great!	zrvk0-B91ahJRSB-UcAmIA
qrSsS0pk7SL67MP5nN8tlg	0	2013-12-22 05:10:12	More parking in the back of the restaurant	8zXgNCkusOHMwh5Tj_8yCQ
oGASRzKGpuiP12ilQH_nKg	0	2010-03-04 15:41:16	Best pretzels this side of the Rhein. Wash down with the Franziskaner Weissbier.	NXXC2iU0o3tDVu6YNaW3Ww
63bHLJUomC22Xdm3IjgBtw	0	2011-10-18 18:29:05	Having the yellow curry, summer rolls and a coke. I would recommend the rolls but the curry was incredible!	DfvT4F5Eqx9Xr3Ei3GYWPg
wZhB4U003eg2GQ-F7D2D4A	0	2016-08-12 22:18:07	When you receive the bag of seafood tie it up and then mix it up that way all the flavours get into the seafood. As well for the owner play less Drake music please and thank you when I'm here. :D Congrats Guys	oIHhfloe5VQamDFDB2dr1Q
Cni2l-VKG_pdospJ6xliXQ	0	2011-10-09 03:43:39	2nd stop for the pub-crawl! Yay!	NEN5RFpZp7DE6K1PK2KZzg
EZZjaiV8ik05NUepqdeP2A	0	2018-02-14 21:35:49	Really delicious food and amazing service.	Fzz-0v1yHLaWuTV64b1miA
xZfPdAYeimiruXuGR4nSUA	0	2011-04-21 22:43:28	Dinner!!	CbmNBkKa9QKNxPiN_whFUw
D2nfOrnJ2OBlX_428sKyMg	0	2011-12-30 17:10:16	Long lines at lunch!!	3KkT6SmPFLGvBS1pnDBr8g
C7JaaErXLB3B3486LfWg5w	0	2013-02-17 06:22:49	Go somewhere else to buy a car or mini van. Rude, assuming sales staff; they are not going to lower the price on a vehicle, The black sales guy is unprofessional and barely knows his job; he is rude and insults customers.	kMcz3zQgNjZYV65qY9ztGA
j9I2YkFCOKyAEb_3FbFqUA	0	2011-04-09 18:58:36	#poutinecrawl #yyc stop #1	JnHaPHkRO2_8V-DysmIBVw
LrO_Xy6lfpbTgFoJcOjY4w	0	2015-05-21 01:13:24	I love the gourmet veggie pizza!!	EZbvMdvCA2D9vF6VjILYXA
0PVxodALQu-soL5J8bjerQ	0	2012-07-24 16:24:09	If there's a more authentic breakfast place in Pittsburgh, I haven't found it. Ritter's is comfort food at its best!	pDAqvfflIM4AM23VRpqAaw
cnfYugAYBFKgwDCTAVdViA	0	2015-05-29 04:25:09	No	gGlFgp4nXNL5azpUtLK05w
1l7gJx3BVWBZ8Wx1vPCkeA	0	2013-11-30 04:03:27	New Dr Who! He talks with an accent, " I'm the Doctor" Oui Garcon!	HmILc-lgVKZS7mWNdYCSJw
7sPNbCx7vGAaH7SbNPZ6oA	0	2012-08-02 06:25:54	Late night burger cravings...	lesnCKZUYH554j-EDZBlTw
PEb1Hm0kQ52cObjPAE6nFQ	0	2014-09-06 23:29:08	Cash only! ATM on site	alUuOskFSl1bODjnce2PpQ
i6G3zsEJIqpGktMWyffXjw	0	2013-12-19 21:29:53	Holiday party	hf27xTME3EiCp6NL6VtWZQ
XP0YZRa6Un25QaOH2g1ivA	0	2011-12-30 22:00:46	oh damn. run do not walk to circle-h. pulled pork.	TYCkjEHPSJSnFb6m6GDluw
p-8AMN9Q0qwym-3Pdle20Q	0	2017-03-10 19:32:16	Good mix of cuisine	r64WY53LOMRPowHDu2JIXw
wyPkRQg3F5Yz2WqRFax7-g	0	2010-12-18 02:00:22	Burgers, salads, entrees of chili and even a ribeye steak.	r5ggPC6OccLk6dDl5yqsJQ
PtwW1Hwme8Y0wy54zNr8Xw	0	2014-06-07 17:04:01	Wonderful food and great service! I will definitely be back with my family!	8aXyfFUFrypoE6PkUQBtmg
IzC1oXHT_TxYej_6YTfBnA	0	2012-10-16 18:25:20	Over 100 group fitness class a week!!!	O_GWZZfQx7qv-n-CN7hsIA
e5Qw3r7mkwPLcdDzZzTeew	0	2011-07-12 20:41:17	good stuff!	lhPuskGXTRSjCwKOOOYeoA
7jKDOB9b_nijq0-djwyUTw	0	2016-05-22 00:11:14	Tara did a great job. I will go back for another hair cut.	ZXIOnRHvDUK-corzrUbqoA
NqCHqgF_FY0Aw9gD-Z3ABQ	1	2014-06-03 04:23:22	Its open! Lobby closes at 10pm.The drive-thru open till 11pm	2EuPAGalYnP7eSxPgFCNDg
DkYS3arLOhA8si5uUEmHOw	0	2012-11-04 03:58:17	You know I had to come back first thing after checking into the hotel!! :]	ZK6aHHTiNlQWCCmv69OXnA
6pSwIh7gbTEpfxDlKEiB5A	0	2012-05-25 00:05:01	PTL time!	0FMte0z-repSVWSJ_BaQTg
I0f12eU-xFn6Kd_4H57jrQ	0	2016-07-30 08:08:12	Soup was awesome!!	uu-gMsKDyKU_9MUItbNkHA
vYn0gishV27DpfM_loZITQ	0	2013-12-11 17:45:51	Southwestern egg rolls...yummy!	CcJQAZfk6QkaBjPnKepLcg
Lzv68iVkRHstVvW3aXNWkA	0	2015-09-28 00:55:47	So far everything has been great	ge72-Ti-WqR3w0YENY5pRQ